Update[04/07/2024]
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| Title | Author | Publish | Date | Link | Source Code |
|---|---|---|---|---|---|
| Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions | Federico Bianchi | ICLR Poster | Mar-24 | https://openreview.net/pdf?id=gT5hALch9z | null |
| FuzzLLM: A Novel and Universal Fuzzing Framework for Proactively Discovering Jailbreak Vulnerabilities in Large Language Models | Dongyu Yao | ICASSP | Sep-23 | https://arxiv.org/abs/2309.05274 | https://arxiv.org/pdf/2309.05274 |
| GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts | Jiahao Yu | arxiv | Sep-23 | https://arxiv.org/abs/2309.10253 | https://github.com/sherdencooper/GPTFuzz |
| Open Sesame! Universal Black Box Jailbreaking of Large Language Models | Raz Lapid | arxiv | Sep-23 | https://arxiv.org/abs/2309.01446 | null |
| Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment | Rishabh Bhardwaj | arxiv | Aug-23 | https://arxiv.org/abs/2308.09662 | null |
| Jailbroken: How Does LLM Safety Training Fail? | Alexander Wei | NeurIPS | Jul-23 | https://arxiv.org/abs/2307.02483 | null |
| MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots | Gelei Deng | NDSS | Jul-23 | https://arxiv.org/abs/2307.08715 | null |
| Universal and Transferable Adversarial Attacks on Aligned Language Models | Andy Zou | NeurIPS | Jul 2023 | https://arxiv.org/abs/2307.15043 | http://llm-attacks.org/ |
| Adversarial Demonstration Attacks on Large Language Models | Jiongxiao Wang | arxiv | May-23 | https://arxiv.org/abs/2305.14950 | null |
| Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation | Yangsibo Huang | ICLR | Mar-24 | https://openreview.net/pdf?id=r42tSSCHPh | https://github.com/Princeton-SysML/Jailbreak_LLM |
| GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher | Youliang Yuan | Jan-24 | https://openreview.net/pdf?id=MbfAK4s61A | https://github.com/RobustNLP/CipherChat | |
| AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models | Xiaogeng Liu | ICLR | Jan-24 | https://openreview.net/pdf?id=7Jwpw4qKkb | https://github.com/SheltonLiu-N/AutoDAN |
| Low-Resource Languages Jailbreak GPT-4 | Zheng-Xin Yong | NeurIPS Workshop | Oct-23 | https://arxiv.org/abs/2310.02446 | null |
| Multi-step Jailbreaking Privacy Attacks on ChatGPT | Haoran Li | EMNLP | Apr-23 | https://arxiv.org/abs/2304.05197 | null |
| Attack Prompt Generation for Red Teaming and Defending Large Language Models | Boyi Deng | EMNLP | Oct-23 | https://arxiv.org/abs/2310.12505 | https://github.com/Aatrox103/SAP |
| Multilingual Jailbreak Challenges in Large Language Models | Yue Deng | ICLR | Oct-23 | https://arxiv.org/abs/2310.06474 | https://github.com/DAMO-NLP-SG/multilingual-safety-for-LLMs%7D |
| Weak-to-Strong Jailbreaking on Large Language Models | Xuandong Zhao | arxiv | Jan-24 | https://arxiv.org/abs/2401.17256 | https://github.com/XuandongZhao/weak-to-strong |
| How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs | Yi Zeng | ACL | Jan-24 | https://arxiv.org/abs/2401.06373 | https://chats-lab.github.io/persuasive_jailbreaker/ |
| Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts | Yuanwei Wu | arxiv | Nov-23 | https://arxiv.org/abs/2311.09127 | null |
| Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack | Yu Fu | ACL | Dec-23 | https://arxiv.org/abs/2312.06924 | null |
| Tree of Attacks: Jailbreaking Black-Box LLMs Automatically | Anay Mehrotra | arxiv | Dec-23 | https://arxiv.org/abs/2312.02119 | https://github.com/RICommunity/TAP |
| A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily | Peng Ding | NAACL | Nov-23 | https://arxiv.org/abs/2311.08268 | https://github.com/NJUNLP/ReNeLLM |
| Goal-Oriented Prompt Attack and Safety Evaluation for LLMs | Chengyuan Liu | arxiv | Sep-23 | https://arxiv.org/abs/2309.11830 | https://github.com/liuchengyuan123/CPAD |
| Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues | Zhiyuan Chang | arxiv | Feb-24 | https://arxiv.org/abs/2402.09091 | null |
| A Cross-Language Investigation into Jailbreak Attacks in Large Language Models | Jie Li | arxiv | Jan-24 | https://arxiv.org/abs/2401.16765 | null |
| Analyzing the Inherent Response Tendency of LLMs: Real-World Instructions-Driven Jailbreak | Yanrui Du | arxiv | Dec-23 | https://arxiv.org/abs/2312.04127 | null |
| All in How You Ask for It: Simple Black-Box Method for Jailbreak Attacks | Kazuhiro Takemoto | arxiv | Jan 2024 | https://arxiv.org/abs/2401.09798 | null |
| DeepInception: Hypnotize Large Language Model to Be Jailbreaker | Xuan Li | arxiv | Nov-23 | https://arxiv.org/abs/2311.03191 | https://github.com/tmlr-group/DeepInception |
| Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation | Rusheb Shah | arxiv | Nov-23 | https://arxiv.org/abs/2311.03348 | null |
| PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails | Neal Mangaokar | arxiv | Feb-24 | https://arxiv.org/abs/2402.15911 | null |
| Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs | Xiaoxia Li | arxiv | Feb-24 | https://arxiv.org/abs/2402.14872 | null |
| ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings | Hao Wang | arxiv | Feb-24 | https://arxiv.org/abs/2402.16006 | null |
| A StrongREJECT for Empty Jailbreaks | Alexandra Souly | arxiv | Feb-24 | https://arxiv.org/abs/2402.10260 | https://github.com/alexandrasouly/strongreject |
| Jailbreaking Black Box Large Language Models in Twenty Queries | Patrick Chao | arxiv | Oct-23 | https://arxiv.org/abs/2310.08419 | https://github.com/patrickrchao/JailbreakingLLMs |
| Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations | Zeming Wei | arxiv | Oct-23 | https://arxiv.org/abs/2310.06387 | null |
| AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models | Sicheng Zhu | arxiv | Oct-23 | https://arxiv.org/abs/2310.15140 | null |
| Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks | Daniel Kang | arxiv | Feb 2023 | https://arxiv.org/abs/2302.05733 | null |
| Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning | Gelei Deng | arxiv | Feb-24 | https://arxiv.org/abs/2402.08416 | null |
| Jailbreaking Proprietary Large Language Models using Word Substitution Cipher | Divij Handa | arxiv | Feb-24 | https://arxiv.org/abs/2402.10601 | null |
| PAL: Proxy-Guided Black-Box Attack on Large Language Models | Chawin Sitawarin | arxiv | Feb-24 | https://arxiv.org/abs/2402.09674 | https://github.com/chawins/pal |
| ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs | Fengqing Jiang | arxiv | Feb-24 | https://arxiv.org/abs/2402.11753 | https://github.com/uw-nsl/ArtPrompt |
| Query-Based Adversarial Prompt Generation | Jonathan Hayase | arxiv | Feb-24 | https://arxiv.org/abs/2402.12329 | null |
| Coercing LLMs to do and reveal (almost) anything | Jonas Geiping | arxiv | Feb-24 | https://arxiv.org/abs/2402.14020 | https://github.com/JonasGeiping/carving |
| COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability | Xingang Guo | ICML | Feb-24 | https://arxiv.org/abs/2402.08679 | https://github.com/Yu-Fangxu/COLD-Attack |
| Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks | Maksym Andriushchenko | arxiv | Apr-24 | https://arxiv.org/abs/2404.02151 | https://github.com/tml-epfl/llm-adaptive-attacks |
| Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs | Bibek Upadhayay | arxiv | Apr 2024 | https://arxiv.org/abs/2404.07242 | null |
| Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models | Zhiyuan Yu | USENIX Security | Mar-24 | https://arxiv.org/abs/2403.17336 | null |
| CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion | Qibing Ren | ACL | Mar-24 | https://arxiv.org/abs/2403.07865 | https://github.com/renqibing/CodeAttack |
| Tastle: Distract Large Language Models for Automatic Jailbreak Attack | Zeguan Xiao | arxiv | Mar-24 | https://arxiv.org/abs/2403.08424 | null |
| AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs | Zeyi Liao | arxiv | Apr-24 | https://arxiv.org/abs/2404.07921 | https://github.com/OSU-NLP-Group/AmpleGCG |
| Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM | Xikang Yang | arxiv | May-24 | https://arxiv.org/abs/2405.05610 | null |
| GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models | Haibo Jin | arxiv | Feb-24 | https://arxiv.org/abs/2402.03299 | null |
| Don't Say No: Jailbreaking LLM by Suppressing Refusal | Yukai Zhou | arxiv | Apr-24 | https://arxiv.org/abs/2404.16369 | null |
| AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs | Anselm Paulus | arxiv | Apr-24 | https://arxiv.org/abs/2404.16873 | https://github.com/facebookresearch/advprompter |
| Lockpicking LLMs: A Logit-Based Jailbreak Using Token-level Manipulation | Yuxi Li | arxiv | May-24 | https://arxiv.org/abs/2405.13068 | null |
| Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent | Shang Shang | arxiv | May-24 | https://arxiv.org/abs/2405.03654 | null |
| GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-Explanation | Govind Ramesh | arxiv | May-24 | https://arxiv.org/abs/2405.13077 | null |
| Poisoned LangChain: Jailbreak LLMs by LangChain | Ziqiu Wang | arxiv | Jun-24 | https://arxiv.org/abs/2406.18122 | https://github.com/CAM-FSS/jailbreak-langchain |
| Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation | Danny Halawi | ICML | Jun-24 | https://arxiv.org/abs/2406.20053 | null |
| Voice Jailbreak Attacks Against GPT-4o | Xinyue Shen | arxiv | May-24 | https://arxiv.org/abs/2405.19103 | https://github.com/TrustAIRLab/VoiceJailbreakAttack |
| StructuralSleight: Automated Jailbreak Attacks on Large Language Models Utilizing Uncommon Text-Encoded Structure | Bangxin Li | arxiv | Jun-24 | https://arxiv.org/abs/2406.08754 | null |
| Knowledge-to-Jailbreak: One Knowledge Point Worth One Attack | Shangqing Tu | arxiv | Jun-24 | https://arxiv.org/abs/2406.11682 | https://github.com/THU-KEG/Knowledge-to-Jailbreak/ |
| CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models | Huijie Lv | arxiv | Feb-24 | https://arxiv.org/abs/2402.16717 | https://github.com/huizhang-L/CodeChameleon |
| DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers | Xirui Li | arxiv | Feb-24 | https://arxiv.org/abs/2402.16914 | https://github.com/xirui-li/DrAttack |
| Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction | Tong Liu | USENIX Security | Feb-24 | https://arxiv.org/abs/2402.18104 | https://github.com/LLM-DRA/DRA |
| Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks | Yixin Cheng | arxiv | Feb-24 | https://arxiv.org/abs/2402.09177 | null |
| Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters | Haibo Jin | arxiv | May-24 | https://arxiv.org/abs/2405.20413 | null |
| RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs | Xuan Chen | arxiv | Jun-24 | https://arxiv.org/abs/2406.08725 | null |
| Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses | Xiaosen Zheng | arxiv | Jun-24 | https://arxiv.org/abs/2406.01288 | https://github.com/sail-sg/I-FSJ |
| AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens | Lin Lu | arxiv | Jun-24 | https://arxiv.org/abs/2406.03805 | null |
| Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack | Mark Russinovich | arxiv | Apr-24 | https://arxiv.org/abs/2404.01833 | null |
| MART: Improving LLM Safety with Multi-round Automatic Red-Teaming | Suyu Ge | arxiv | Nov-23 | https://arxiv.org/abs/2311.07689 | null |
| Virtual Context: Enhancing Jailbreak Attacks with Special Token Injection | Yuqi Zhou | arxiv | Jun 2024 | https://arxiv.org/abs/2406.19845 | null |
| When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search | Xuan Chen | arxiv | Jun-24 | https://arxiv.org/abs/2406.08705 | null |
| Improved Techniques for Optimization-Based Jailbreaking on Large Language Models | Xiaojun Jia | arxiv | May-24 | https://arxiv.org/abs/2405.21018 | https://github.com/jiaxiaojunQAQ/I-GCG |
| Title | Author | Publish | Date | Link | Source Code |
|---|---|---|---|---|---|
| Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF | Anand Siththaranjan | ICLR | Apr-24 | https://openreview.net/pdf?id=0tWTxYYPnW | null |
| Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM | Bochuan Cao | ACL | 2024 | https://arxiv.org/abs/2309.14348 | null |
| Detecting Language Model Attacks with Perplexity | Gabriel Alon | arxiv | Aug-23 | https://arxiv.org/abs/2308.14132 | null |
| Certifying LLM Safety against Adversarial Prompting | Aounon Kumar | arxiv | Sep-23 | https://arxiv.org/abs/2309.02705 | https://github.com/aounon/certified-llm-safety |
| Baseline Defenses for Adversarial Attacks Against Aligned Language Models | Neel Jain | arxiv | Sep-23 | https://arxiv.org/abs/2309.00614 | null |
| SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks | Alexander Robey | arxiv | Oct-23 | https://arxiv.org/abs/2310.03684 | https://github.com/arobey1/smooth-llm |
| Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks | Abhinav Rao | LREC-COLING | May-23 | https://arxiv.org/abs/2305.14965 | null |
| Intention Analysis Makes LLMs A Good Jailbreak Defender | Yuqi Zhang | arxiv | Jan-24 | https://arxiv.org/abs/2401.06561 | https://github.com/alphadl/SafeLLM_with_IntentionAnalysis |
| On Prompt-Driven Safeguarding for Large Language Models | Chujie Zheng | ICML | Jan-24 | https://arxiv.org/abs/2401.18018 | https://github.com/chujiezheng/LLM-Safeguard |
| Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks | Andy Zhou | arxiv | Jan-24 | https://arxiv.org/abs/2401.17263 | https://github.com/lapisrocks/rpo |
| SPML: A DSL for Defending Language Models Against Prompt Attacks | Reshabh K Sharma | arxiv | Feb-24 | https://arxiv.org/abs/2402.11755 | https://prompt-compiler.github.io/SPML/ |
| LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A Vision Paper | Daoyuan Wu | arxiv | Feb-24 | https://arxiv.org/abs/2402.15727 | null |
| SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding | Zhangchen Xu | ACL | Feb-24 | https://arxiv.org/abs/2402.08983 | https://github.com/uw-nsl/SafeDecoding |
| GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis | Yueqi Xie | ACL | Feb-24 | https://arxiv.org/abs/2402.13494 | https://github.com/xyq7/GradSafe |
| Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing | Jiabao Ji | arxiv | Feb-24 | https://arxiv.org/abs/2402.16192 | https://github.com/UCSB-NLP-Chang/SemanticSmooth |
| Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning | Adib Hasan | arxiv | Jan-24 | https://arxiv.org/abs/2401.10862 | null |
| Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks with Self-Refinement | Heegyu Kim | arxiv | Feb-24 | https://arxiv.org/abs/2402.15180 | null |
| Protecting Your LLMs with Information Bottleneck | Zichuan Liu | arxiv | May-24 | https://arxiv.org/abs/2404.13968 | https://github.com/zichuan-liu/IB4LLMs |
| Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge | Weikai Lu | arxiv | Apr-24 | https://arxiv.org/abs/2404.05880 | https://github.com/ZeroNLP/Eraser |
| RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content | Zhuowen Yuan | arxiv | Mar-24 | https://arxiv.org/abs/2403.13031 | null |
| Detoxifying Large Language Models via Knowledge Editing | Mengru Wang | ACL | Mar-24 | https://arxiv.org/abs/2403.14472 | https://github.com/zjunlp/EasyEdit |
| AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks | Yifan Zeng | arxiv | Mar-24 | https://arxiv.org/abs/2403.04783 | https://github.com/XHMY/AutoDefense |
| Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes | Xiaomeng Hu | arxiv | Mar-24 | https://arxiv.org/abs/2403.00867 | https://huggingface.co/spaces/TrustSafeAI/GradientCuff-Jailbreak-Defense |
| Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs | Fan Liu | arxiv | Jun-24 | https://arxiv.org/abs/2406.06622 | null |
| WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models | Liwei Jiang | arxiv | Jun-24 | https://arxiv.org/abs/2406.18510 | null |
| WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs | Seungju Han | arxiv | Jun-24 | https://arxiv.org/abs/2406.18495 | null |
| SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner | Xunguang Wang | arxiv | Jun-24 | https://arxiv.org/abs/2406.05498 | null |
| Merging Improves Self-Critique Against Jailbreak Attacks | Victor Gallego | arxiv | Jun-24 | https://arxiv.org/abs/2406.07188 | https://github.com/vicgalle/merging-self-critique-jailbreaks |
| Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks | Chen Xiong | arxiv | May-24 | https://arxiv.org/abs/2405.20099 | null |
| Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment | Jiongxiao Wang | arxiv | Feb-24 | https://arxiv.org/abs/2402.14968 | https://jayfeather1024.github.io/Finetuning-Jailbreak-Defense/ |
| Improving Alignment and Robustness with Circuit Breakers | Andy Zou | arxiv | Jun-24 | https://arxiv.org/abs/2406.04313 | https://github.com/blackswan-ai/circuit-breakers |
| Robustifying Safety-Aligned Large Language Models through Clean Data Curation | Xiaoqun Liu | arxiv | May-24 | https://arxiv.org/abs/2405.19358 | null |
| Efficient Adversarial Training in LLMs with Continuous Attacks | Sophie Xhonneux | arxiv | May-24 | https://arxiv.org/abs/2405.15589 | https://github.com/sophie-xhonneux/Continuous-AdvTrain |
| SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance | Caishuang Huang | arxiv | Jun-24 | https://arxiv.org/abs/2406.18118 | null |
| Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing | Wei Zhao | arxiv | May-24 | https://arxiv.org/abs/2405.18166 | https://github.com/ledllm/ledllm |
| Cross-Task Defense: Instruction-Tuning LLMs for Content Safety | Yu Fu | NAACL | May-24 | https://arxiv.org/abs/2405.15202 | https://github.com/FYYFU/safety-defense |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs | Zhao Xu | arxiv | 2024 | https://arxiv.org/abs/2406.09324 | https://github.com/usail-hkust/Bag_of_Tricks_for_LLM_Jailbreaking |
| BELLS: A Framework Towards Future Proof Benchmarks for the Evaluation of LLM Safeguards | Diego Dorn | arxiv | 2024 | https://arxiv.org/abs/2406.01364 | null |
| JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models | Patrick Chao | arxiv | 2024 | https://arxiv.org/abs/2404.01318 | https://github.com/JailbreakBench/jailbreakbench |
| HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal | Mantas Mazeika | arxiv | 2024 | https://arxiv.org/abs/2402.04249 | https://github.com/centerforaisafety/HarmBench |
| SC-Safety: A Multi-round Open-ended Question Adversarial Safety Benchmark for Large Language Models in Chinese | Liang Xu | arxiv | 2024 | https://arxiv.org/abs/2310.05818 | https://www.cluebenchmarks.com/ |
| Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models | Huachuan Qiu | arxiv | 2024 | https://arxiv.org/abs/2307.08487 | https://github.com/qiuhuachuan/latent-jailbreak |
| XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models | Paul Röttger | NAACL | Aug-23 | https://arxiv.org/abs/2308.01263 | null |
| Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models | Huachuan Qiu | arxiv | Jul-23 | https://arxiv.org/abs/2307.08487 | https://github.com/qiuhuachuan/latent-jailbreak |
| SC-Safety: A Multi-round Open-ended Question Adversarial Safety Benchmark for Large Language Models in Chinese | Liang Xu | arxiv | Oct-23 | https://arxiv.org/abs/2310.05818 | https://www.cluebenchmarks.com/ |
| AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models | Dong shu | arxiv | Jan-24 | https://arxiv.org/abs/2401.09002 | null |
| How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queries | Somnath Banerjee | arxiv | Feb-24 | https://arxiv.org/abs/2402.15302 | https://huggingface.co/datasets/SoftMINER-Group/TechHazardQA |
| AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts | Shaona Ghosh | arxiv | Apr-24 | https://arxiv.org/abs/2404.05993 | |
| Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs | Zhao Xu | arxiv | Jun-24 | https://arxiv.org/abs/2406.09324 | null |
| BELLS: A Framework Towards Future Proof Benchmarks for the Evaluation of LLM Safeguards | Diego Dorn | arxiv | Jun-24 | https://arxiv.org/abs/2406.01364 | null |
| Improved Generation of Adversarial Examples Against Safety-aligned LLMs | Qizhang Li | arxiv | May-24 | https://arxiv.org/abs/2405.20778 | null |
| JailBreakV-28K: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks | Weidi Luo | arxiv | Apr-24 | https://arxiv.org/abs/2404.03027 | https://github.com/EddyLuo1232/JailBreakV_28K |
| JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models | Patrick Chao | arxiv | Mar-24 | https://arxiv.org/abs/2404.01318 | https://github.com/JailbreakBench/jailbreakbench |
| JailbreakEval: An Integrated Toolkit for Evaluating Jailbreak Attempts Against Large Language Models | Delong Ran | arxiv | Jun-24 | https://arxiv.org/abs/2406.09321 | https://github.com/ThuCCSLab/JailbreakEval |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey | Shang Wang | arxiv | 2024 | https://arxiv.org/abs/2406.07973 | null |
| Exploring Vulnerabilities and Protections in Large Language Models: A Survey | Frank Weizhen Liu | arxiv | 2024 | https://arxiv.org/abs/2406.00240 | null |
| Safeguarding Large Language Models: A Survey | Yi Dong | arxiv | 2024 | https://arxiv.org/abs/2406.02622 | null |
| Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression | Junyuan Hong | arxiv | 2024 | https://arxiv.org/abs/2403.15447 | null |
| Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices | Sara Abdali | arxiv | 2024 | https://arxiv.org/abs/2403.12503 | null |
| Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models | Arijit Ghosh Chowdhury | arxiv | 2024 | https://arxiv.org/abs/2403.04786 | null |
| Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey | Zhichen Dong | arxiv | 2024 | https://arxiv.org/abs/2402.09283 | null |
| Security and Privacy Challenges of Large Language Models: A Survey | Badhan Chandra Das | arxiv | 2024 | https://arxiv.org/abs/2402.00888 | null |
| Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems | Tianyu Cui | arxiv | 2024 | https://arxiv.org/abs/2401.05778 | null |
| TrustLLM: Trustworthiness in Large Language Models | Lichao Sun | arxiv | 2024 | https://arxiv.org/abs/2401.05561 | null |
| A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly | Yifan Yao | arxiv | 2024 | https://arxiv.org/abs/2312.02003 | null |
| A Comprehensive Overview of Large Language Models | Humza Naveed | arxiv | 2024 | https://arxiv.org/abs/2307.06435 | null |
| Safety Assessment of Chinese Large Language Models | Hao Sun | arxiv | 2024 | https://arxiv.org/abs/2304.10436 | null |
| Holistic Evaluation of Language Models | Percy Liang | arxiv | 2024 | https://arxiv.org/abs/2211.09110 | null |
| Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks | Erfan Shayegani | ACL | Oct-23 | https://arxiv.org/abs/2310.10844 | https://llm-vulnerability.github.io/ |
| A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models | Aysan Esmradi | UbiSec | Dec-23 | https://arxiv.org/abs/2312.10982 | null |
| Against The Achilles' Heel: A Survey on Red Teaming for Generative Models | Lizhi Lin | arxiv | Mar-24 | https://arxiv.org/abs/2404.00629 | null |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models | Xinyue Shen | CCS | Aug-23 | https://arxiv.org/abs/2308.03825 | https://github.com/verazuo/jailbreak_llms |
| Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study | Yi Liu | arxiv | May-23 | https://arxiv.org/abs/2305.13860 | null |
| Comprehensive Assessment of Jailbreak Attacks Against LLMs | Junjie Chu | arxiv | Feb-24 | https://arxiv.org/abs/2402.05668 | null |
| Summon a Demon and Bind it: A Grounded Theory of LLM Red Teaming in the Wild | Nanna Inie | arxiv | Nov-23 | https://arxiv.org/abs/2311.06237 | null |
| A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models | Zihao Xu | ACL | Feb-24 | https://arxiv.org/abs/2402.13457 | null |
| Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models | Rima Hazra | ACL | Jan-24 | https://arxiv.org/abs/2401.10647 | null |
| Is the System Message Really Important to Jailbreaks in Large Language Models? | Xiaotian Zou | arxiv | Feb-24 | https://arxiv.org/abs/2402.14857 | null |
| Testing the Limits of Jailbreaking Defenses with the Purple Problem | Taeyoun Kim | arxiv | Mar-24 | https://arxiv.org/abs/2403.14725 | null |
| JailbreakLens: Visual Analysis of Jailbreak Attacks Against Large Language Models | Yingchaojie Feng | arxiv | Apr-24 | https://arxiv.org/abs/2404.08793 | |
| Competition Report: Finding Universal Jailbreak Backdoors in Aligned LLMs | Javier Rando | arxiv | Apr-24 | https://arxiv.org/abs/2404.14461 | null |
| Universal Adversarial Triggers Are Not Universal | Nicholas Meade | arxiv | Apr-24 | https://arxiv.org/abs/2404.16020 | null |
| How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States | Zhenhong Zhou | arxiv | Jun-24 | https://arxiv.org/abs/2406.05644 | https://github.com/ydyjya/LLM-IHS-Explanation |
| Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models | Sarah Ball | arxiv | Jun-24 | https://arxiv.org/abs/2406.09289 | null |
| Badllama 3: removing safety finetuning from Llama 3 in minutes | Dmitrii Volkov | arxiv | Jul-24 | https://arxiv.org/abs/2407.01376 | null |
| "Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak | Lingrui Mei | arxiv | Jun-24 | https://arxiv.org/abs/2406.11668 | null |
| Rethinking How to Evaluate Language Model Jailbreak | Hongyu Cai | arxiv | Apr-24 | https://arxiv.org/abs/2404.06407 | |
| Jailbreak Paradox: The Achilles' Heel of LLMs | Abhinav Rao | arxiv | Jun-24 | https://arxiv.org/abs/2406.12702 | null |
| Hacc-Man: An Arcade Game for Jailbreaking LLMs | Matheus Valentim | arxiv | May-24 | https://arxiv.org/abs/2405.15902 | null |
| Title | Author | Publish | Date | Link | Source Code |
|---|---|---|---|---|---|
| BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models | Qingqing Cao | ICLR | Jan-24 | https://openreview.net/pdf?id=3TO3TtnOFl | https://github.com/csarron/BTR |
| Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning | LINHAO LUO | ICLR | Jan-24 | https://openreview.net/pdf?id=ZGNWW7xZ6Q | https://github.com/RManLuo/reasoning-on-graphs |
| Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models | Alfonso Amayuelas | arxiv | May-23 | https://arxiv.org/abs/2305.13712 | null |
| Conformal Language Modeling | Victor Quach | ICLR | Jun 2023 | https://arxiv.org/pdf/2306.10193 | null |
| Inference-Time Intervention: Eliciting Truthful Answers from a Language Model | Kenneth Li | NeurIPS | Jun 2023 | https://arxiv.org/abs/2306.03341 | https://github.com/likenneth/honest_llama |
| Supervised Knowledge Makes Large Language Models Better In-context Learners | Linyi Yang | ICLR | Dec-23 | https://arxiv.org/abs/2312.15918 | https://github.com/YangLinyi/Supervised-Knowledge-Makes-Large-Language-Models-Better-In-context-Learners |
| Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning | Fuxiao Liu | ICLR | Jun 2023 | https://arxiv.org/abs/2306.14565 | https://github.com/FuxiaoLiu/LRV-Instruction |
| Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources | Xingxuan Li | ICLR | May-23 | https://arxiv.org/abs/2305.13269 | https://github.com/DAMO-NLP-SG/chain-of-knowledge |
| Fine-Tuning Language Models for Factuality | Katherine Tian | ICLR | Nov-23 | https://arxiv.org/abs/2311.08401 | https://github.com/kttian/llm_factuality_tuning |
| Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding | Zilong Wang | ICLR | Jan-24 | https://arxiv.org/abs/2401.04398 | null |
| MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework | Sirui Hong | ICLR | Aug-23 | https://arxiv.org/abs/2308.00352 | https://github.com/geekan/MetaGPT |
| CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing | Zhibin Gou | ICLR | May-23 | https://arxiv.org/pdf/2305.11738 | https://github.com/microsoft/ProphetNet/tree/master/CRITIC |
| Improving Factuality and Reasoning in Language Models through Multiagent Debate | Yilun Du | arxiv | May-23 | https://arxiv.org/abs/2305.14325 | https://composable-models.github.io/llm_debate/ |
| Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models | Jinhao Duan | arxiv | Jul-23 | https://arxiv.org/abs/2307.01379 | https://github.com/jinhaoduan/SAR |
| RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering | Kai-Po Chang | ICLR | Jan 2024 | https://openreview.net/pdf?id=bshfchPM9H | null |
| Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback | Baolin Peng | arxiv | Feb 2023 | https://arxiv.org/abs/2302.12813 | https://github.com/pengbaolin/LLM-Augmenter |
| The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models | Shuo Zhang | arxiv | May-23 | https://arxiv.org/abs/2305.13669 | https://github.com/ShuoZhangXJTU/MixAlign |
| Trusting Your Evidence: Hallucinate Less with Context-aware Decoding | Weijia Shi | arxiv | May-23 | https://arxiv.org/abs/2305.14739 | null |
| Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning | LINHAO LUO | ICLR | Oct-23 | https://arxiv.org/abs/2310.01061 | https://github.com/RManLuo/reasoning-on-graphs |
| Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models | Haoran Wang | EMNLP | Oct-23 | https://arxiv.org/abs/2310.05253 | https://github.com/wang2226/FOLK |
| Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning | Mustafa Shukor | ICLR | Oct-23 | https://arxiv.org/abs/2310.00647 | https://github.com/mshukor/EvALign-ICL |
| Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-based Retrofitting | Xinyan Guan | arxiv | Nov-23 | https://arxiv.org/abs/2311.13314 | null |
| Knowledge Verification to Nip Hallucination in the Bud | Fanqi Wan | arxiv | Jan 2024 | https://arxiv.org/abs/2401.10768 | https://github.com/fanqiwan/KCA |
| Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue | Jia-Chen Gu | arxiv | Jan 2024 | https://arxiv.org/abs/2401.04700 | null |
| Reducing Hallucinations in Entity Abstract Summarization with Facts-Template Decomposition | Fangwei Zhu | arxiv | Feb-24 | https://arxiv.org/abs/2402.18873 | null |
| Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models | Wenhao Yu | arxiv | Nov-23 | https://arxiv.org/abs/2311.09210 | null |
| Reducing hallucination in structured outputs via Retrieval-Augmented Generation | Patrice Béchard | NAACL | Apr 2024 | https://arxiv.org/abs/2404.08189 | null |
| Improving Factual Error Correction by Learning to Inject Factual Errors | Xingwei He | AAAI | Dec-23 | https://arxiv.org/abs/2312.07049 | null |
| Strong hallucinations from negation and how to fix them | Nicholas Asher | arxiv | Feb-24 | https://arxiv.org/abs/2402.10543 | null |
| Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models | Hanxing Ding | arxiv | Feb-24 | https://arxiv.org/abs/2402.10612 | null |
| Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts | Tian Yu | ACL | Mar-24 | https://arxiv.org/abs/2403.07556 | https://github.com/ictnlp/TACS |
| Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases | Jiarui Li | arxiv | Mar-24 | https://arxiv.org/abs/2403.10446 | https://github.com/anlp-team/LTI_Neural_Navigator |
| Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations | Christian Tomani | arxiv | Apr-24 | https://arxiv.org/abs/2404.10960 | null |
| TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space | Shaolei Zhang | ACL | Feb-24 | https://arxiv.org/abs/2402.17811 | https://ictnlp.github.io/TruthX-site/ |
| Measuring and Reducing LLM Hallucination without Gold-Standard Answers | Jiaheng Wei | arxiv | Feb-24 | https://arxiv.org/abs/2402.10412 | null |
| Mitigating LLM Hallucinations via Conformal Abstention | Yasin Abbasi Yadkori | arxiv | Apr-24 | https://arxiv.org/abs/2405.01563 | null |
| Understanding the Effects of Iterative Prompting on Truthfulness | Satyapriya Krishna | arxiv | Feb-24 | https://arxiv.org/abs/2402.06625 | null |
| Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval | Mengjia Niu | arxiv | May-24 | https://arxiv.org/abs/2405.06545 | null |
| Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate | Kyungha Kim | arxiv | Feb-24 | https://arxiv.org/abs/2402.07401 | null |
| Title | Author | Venue | Date | Link | Source Code |
|---|---|---|---|---|---|
| SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models | Potsawee Manakul | EMNLP | Mar-23 | https://arxiv.org/abs/2303.08896 | https://github.com/potsawee/selfcheckgpt |
| A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation | Neeraj Varshney | arxiv | Jul-23 | https://arxiv.org/abs/2307.03987 | |
| Self-contradictory Hallucinations of Large https://arxiv.org/abs/2305.15852 Models: Evaluation, Detection and Mitigation | Niels Mündler | ICLR | May-23 | https://arxiv.org/abs/2305.15852 | https://chatprotect.ai/ |
| Fact-Checking Complex Claims with Program-Guided Reasoning | Liangming Pan | ACL | May-23 | https://arxiv.org/abs/2305.12744 | https://github.com/mbzuai-nlp/ProgramFC |
| INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection | Chao Chen | ICLR | Feb-24 | https://arxiv.org/abs/2402.03744 | null |
| Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach | Ernesto Quevedo | ICAI | May-24 | https://arxiv.org/abs/2405.19648 | https://github.com/Baylor-AI/HalluDetect |
| Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models | Weihang Su | Mar-24 | https://arxiv.org/abs/2403.06448 | null | |
| Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus | Tianhang Zhang | EMNLP | Nov-23 | https://arxiv.org/abs/2311.13230 | null |
| In Search of Truth: An Interrogation Approach to Hallucination Detection | Yakir Yehuda | arxiv | Mar-24 | https://arxiv.org/abs/2403.02889 | null |
| PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics | Derui Zhu | arxiv | Apr-24 | https://arxiv.org/abs/2404.04722 | null |
| Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification | Ekaterina Fadeeva | ACL | Mar-24 | https://arxiv.org/pdf/2403.04696 | null |
| Can We Verify Step by Step for Incorrect Answer Detection? | Xin Xu | arxiv | Feb-24 | https://arxiv.org/abs/2402.10528 | https://github.com/XinXU-USTC/R2PE |
| Comparing Hallucination Detection Metrics for Multilingual Generation | Haoqiang Kang | arxiv | Feb-24 | https://arxiv.org/abs/2402.10496 | null |
| Title | Author | Publish | Date | Link | Source Code |
|---|---|---|---|---|---|
| Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models | Yue Zhang | arxiv | Sep-23 | https://arxiv.org/abs/2309.01219 | null |
| LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses | Xin Liu | ICLR | Oct-23 | https://arxiv.org/abs/2310.19208 | https://github.com/launchnlp/LitCab |
| Towards Understanding Factual Knowledge of Large Language Models | Xuming Hu | ICLR | Jan-24 | https://openreview.net/pdf?id=9OevMUdods | https://github.com/THU-BPM/Pinocchio |
| HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models | Junyi Li | EMNLP | May-23 | https://arxiv.org/abs/2305.11747 | https://github.com/RUCAIBox/HaluEval |
| UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation | Xun Liang | ACL | Nov-23 | https://arxiv.org/abs/2311.15296 | https://iaar-shanghai.github.io/UHGEval/ |
| HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild | Zhiying Zhu | arxiv | Mar-24 | https://arxiv.org/abs/2403.04307 | https://github.com/Dianezzy/HaluEval-Wild |
| Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs | Adi Simhi | arxiv | Apr-24 | https://arxiv.org/abs/2404.09971 | https://github.com/technion-cs-nlp/hallucination-mitigation |
| DelucionQA: Detecting Hallucinations in Domain-specific Question Answering | Mobashir Sadat | EMNLP | Dec-23 | https://arxiv.org/abs/2312.05200 | https://github.com/boschresearch/DelucionQA |
| DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models | Kedi Chen | arxiv | Mar-24 | https://arxiv.org/abs/2403.00896 | https://github.com/141forever/DiaHalu |
| ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models | Jio Oh | arxiv | Mar-24 | https://arxiv.org/abs/2403.05266 | https://github.com/DILAB-KAIST/ERBench |
| Title | Author | Publish | Date | Link | Source Code |
|---|---|---|---|---|---|
| Survey of Hallucination in Natural Language Generation | Ziwei Ji | arxiv | Feb 2022 | https://arxiv.org/abs/2202.03629 | null |
| Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity | Cunxiang Wang | arxiv | Oct-23 | https://arxiv.org/abs/2310.07521 | null |
| The Human Factor in Detecting Errors of Large Language Models: A Systematic Literature Review and Future Research Directions | Christian A. Schiller | arxiv | Mar-24 | https://arxiv.org/abs/2403.09743 | null |
| A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions | Lei Huang, | arxiv | Nov-23 | https://arxiv.org/abs/2311.05232 | null |
| Title | Author | Publish | Date | Link | Source Code |
|---|---|---|---|---|---|
| Sources of Hallucination by Large Language Models on Inference Tasks | Nick McKenna | EMNLP | May-23 | https://arxiv.org/abs/2305.14552 | null |
| Teaching Language Models to Hallucinate Less with Synthetic Tasks | Erik Jones | ICLR | Oct-23 | https://arxiv.org/abs/2310.06827 | null |
| In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT | Xinyue Shen | arxiv | Apr-23 | https://arxiv.org/abs/2304.08979 | null |
| When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour | Leonardo Ranaldi | arxiv | Nov-23 | https://arxiv.org/abs/2311.09410 | null |
| Calibrated Language Models Must Hallucinate | Adam Tauman Kalai | STOC | Nov-23 | https://arxiv.org/abs/2311.14648 | null |
| C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models | Mintong Kang | ICML | Feb-24 | https://arxiv.org/abs/2402.03181 | null |
| Large Language Models are Null-Shot Learners | Pittawat Taveekitworachai | arxiv | Jan 2024 | https://arxiv.org/abs/2401.08273 | null |
| Hallucination is Inevitable: An Innate Limitation of Large Language Models | Ziwei Xu | arxiv | Jan-24 | https://arxiv.org/abs/2401.11817 | null |
| Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty | Kaitlyn Zhou | arxiv | Jan 2024 | https://arxiv.org/abs/2401.06730 | null |
| Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination | Haoqiang Kang | arxiv | Nov-23 | https://arxiv.org/abs/2311.15548 | null |
| Banishing LLM Hallucinations Requires Rethinking Generalization | Johnny Li | arxiv | Jun-24 | https://arxiv.org/abs/2406.17642 | null |
| Seven Failure Points When Engineering a Retrieval Augmented Generation System | Scott Barnett | arxiv | Jan-24 | https://arxiv.org/abs/2401.05856 | null |
| Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? | Zorik Gekhman | arxiv | May-24 | https://arxiv.org/abs/2405.05904 | null |
| The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation | Rongwu Xu | ACL | Dec-23 | https://arxiv.org/abs/2312.09085 | https://llms-believe-the-earth-is-flat.github.io/ |
| Tell me the truth: A system to measure the trustworthiness of Large Language Model | Carlo Lipizzi | arxiv | Mar-24 | https://arxiv.org/abs/2403.04964 | null |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Visual Adversarial Examples Jailbreak Large Language Models | Xiangyu Qi | AAAI | 2024 | AAAI | github |
| Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks | Zonghao Ying | arxiv | 2024 | https://arxiv.org/abs/2406.06302 | https://github.com/ny1024/jailbreak_gpt4o |
| Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt | Zonghao Ying | arxiv | 2024 | https://arxiv.org/abs/2406.04031 | https://github.com/NY1024/BAP-Jailbreak-Vision-Language-Models-via-Bi-Modal-Adversarial-Prompt |
| Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models | Erfan Shayegani | ICLR | 2024 | https://openreview.net/forum?id=plmBsXHxgR | null |
| FigStep: Jailbreaking Large Vision-language Models via Typographic Visual Prompts | Yichen Gong | arxiv | 2023 | https://arxiv.org/abs/2311.05608 | https://github.com/ThuCCSLab/FigStep |
| Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models | Yifan Li | arxiv | 2024 | https://arxiv.org/abs/2403.09792 | https://github.com/AoiDragon/HADES |
| Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? | Shuo Chen | arxiv | 2024 | https://arxiv.org/abs/2404.03411 | null |
| Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models | Xijie Huang | arxiv | 2024 | https://arxiv.org/abs/2405.20775 | https://github.com/dirtycomputer/O2M_attack |
| Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Character | Siyuan Ma | arxiv | 2024 | https://arxiv.org/abs/2405.20773 | null |
| Jailbreaking Attack against Multimodal Large Language Model | Zhenxing Niu | arxiv | 2024 | https://arxiv.org/abs/2402.02309 | https://github.com/abc03570128/Jailbreaking-Attack-against-Multimodal-Large-Language-Model |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models | Tianle Gu | arxiv | 2024 | https://arxiv.org/abs/2406.07594 | https://github.com/Carol-gutianle/MLLMGuard |
| Cross-Modal Safety Alignment: Is textual unlearning all you need? | Trishna Chakraborty | arxiv | 2024 | https://arxiv.org/abs/2406.02575 | null |
| Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security | Yihe Fan | arxiv | 2024 | https://arxiv.org/abs/2404.05264 | null |
| AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting | Yu Wang | arxiv | 2024 | https://arxiv.org/abs/2403.09513 | https://github.com/rain305f/AdaShield |
| Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models | Yongshuo Zong | arxiv | 2024 | https://arxiv.org/abs/2402.02207 | https://github.com/ys-zong/VLGuard |
| JailGuard: A Universal Detection Framework for LLM Prompt-based Attacks | Xiaoyu Zhang | arxiv | 2024 | https://arxiv.org/abs/2312.10766 | null |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| JailBreakV-28K: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks | Weidi Luo | arxiv | 2024 | https://arxiv.org/abs/2404.03027 | https://github.com/EddyLuo1232/JailBreakV_28K |
| MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models | Xin Liu | arxiv | 2023 | https://arxiv.org/abs/2311.17600 | https://github.com/isXinLiu/MM-SafetyBench |
| Red Teaming Visual Language Models | Mukai Li | arxiv | 2024 | https://arxiv.org/abs/2401.12915 | null |
| How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs | Haoqin Tu | arxiv | 2023 | https://arxiv.org/abs/2311.16101 | https://github.com/UCSC-VLAA/vllm-safety-benchmark |
| Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study | Yichi Zhang | arxiv | 2024 | https://arxiv.org/abs/2406.07057 | https://multi-trust.github.io/ |
| SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model | Yongting Zhang | arxiv | 2024 | https://arxiv.org/abs/2406.12030 | https://github.com/EchoseChen/SPA-VL-RLHF |
| MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries? | Xirui Li | arxiv | 2024 | https://arxiv.org/abs/2406.17806 | https://turningpoint-ai.github.io/MOSSBench/ |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Safety of Multimodal Large Language Models on Images and Texts | Xin Liu | arxiv | 2024 | https://arxiv.org//abs/2402.00357 | null |
| Title | First Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models | Yuancheng Xu | arxiv | 2024 | https://arxiv.org/abs/2402.06659 | https://github.com/umd-huang-lab/VLM-Poisoning |
| Test-Time Backdoor Attacks on Multimodal Large Language Models | Dong Lu | arxiv | 2024 | https://arxiv.org/abs/2402.08577 | https://sail-sg.github.io/AnyDoor/ |
| VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models | Jiawei Liang | arxiv | 2024 | https://arxiv.org/abs/2402.13851 | null |
| Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models | Zhenyang Ni | arxiv | 2024 | https://arxiv.org/abs/2404.12916 | null |
| Title | First Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Understanding Zero-Shot Adversarial Robustness for Large-Scale Models | Chengzhi Mao | arxiv | 2022 | https://arxiv.org/abs/2212.07016 | null |
| On Evaluating Adversarial Robustness of Large Vision-Language Models | Yunqing Zhao | arxiv | 2023 | https://arxiv.org/abs/2305.16934 | https://github.com/yunqing-me/AttackVLM |
| On the Adversarial Robustness of Multi-Modal Foundation Models | Christian Schlarmann | ICCV AROW | 2023 | https://arxiv.org/abs/2308.10741 | null |
| Adversarial Illusions in Multi-Modal Embeddings | Tingwei Zhang | USENIX Security | 2023 | https://arxiv.org/abs/2308.11804 | null |
| Image Hijacks: Adversarial Images can Control Generative Models at Runtime | Luke Bailey | arxiv | 2023 | https://arxiv.org/abs/2309.00236 | null |
| How Robust is Google's Bard to Adversarial Image Attacks? | Yinpeng Dong | arxiv | 2023 | https://arxiv.org/abs/2309.11751 | https://github.com/thu-ml/Attack-Bard |
| An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models | Haochen Luo | ICLR | 2024 | https://openreview.net/pdf?id=nc5GgFAvtk | https://github.com/Haochen-Luo/CroPA |
| Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images | Kuofeng Gao | ICLR | 2024 | https://openreview.net/pdf?id=BteuUysuXX | https://github.com/KuofengGao/Verbose_Images |
| Hijacking Context in Large Multi-modal Models | Joonhyun Jeong | arxiv | 2023 | https://arxiv.org/abs/2312.07553 | null |
| On the Robustness of Large Multimodal Models Against Image Adversarial Attacks | Xuanming Cui | arxiv | 2023 | https://arxiv.org/abs/2312.03777 | null |
| InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models | Xunguang Wang | arxiv | 2023 | https://arxiv.org/abs/2312.01886 | https://github.com/xunguangwang/InstructTA |
| Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images | arxiv | 2024 | https://arxiv.org/abs/2402.14899 | null |
| Title | First Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Adversarial Visual-Instructions | Hao Zhang | arxiv | 2024 | https://arxiv.org/abs/2403.09346 | null |
| Transferable Multimodal Attack on Vision-Language Pre-training Models | Haodi Wang | S&P | 2024 | https://www.computer.org/csdl/proceedings-article/sp/2024/313000a102/1Ub239H4xyg | null |
| Title | First Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning | Fuxiao Liu | ICLR | 2024 | https://openreview.net/pdf?id=J44HfH4JCg | https://github.com/FuxiaoLiu/LRV-Instruction |
| Analyzing and Mitigating Object Hallucination in Large Vision-Language Models | Yiyang Zhou | ICLR | 2024 | https://openreview.net/pdf?id=oZDJKTlOUe | https://github.com/YiyangZhou/LURE |
| A Survey on Hallucination in Large Vision-Language Models | Hanchao Liu | arxiv | 2024 | https://arxiv.org/abs/2402.00253 | null |
| Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance | Linxi Zhao | arxiv | 2024 | https://arxiv.org/abs/2402.08680 | null |
| Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding | Ailin Deng | arxiv | 2024 | https://arxiv.org/abs/2402.15300 | https://github.com/d-ailin/CLIP-Guided-Decoding |
| Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback | Wenyi Xiao | arxiv | 2024 | https://arxiv.org/abs/2404.14233 | null |
| Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding | Xintong Wang | arxiv | 2024 | https://arxiv.org/abs/2403.18715 | null |
| HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models | Tianrui Guan | CVPR | 2024 | https://arxiv.org/abs/2310.14566 | https://github.com/tianyi-lab/HallusionBench |
| Title | First Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges | Chenhang Cui | arxiv | 2023 | https://arxiv.org/abs/2311.03287 | https://github.com/gzcch/Bingo |
| Title | First Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Zero shot VLMs for hate meme detection: Are we there yet? | Naquee Rizwan | arxiv | 2024 | https://arxiv.org/abs/2402.12198 | null |
| MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation | Han Wang | ACM MM | 2024 | https://arxiv.org/abs/2403.14652 | null |
| Moderating Illicit Online Image Promotion for Unsafe User-Generated Content Games Using Large Vision-Language Models | Keyan Guo | USENIX Security | 2024 | https://arxiv.org/abs/2403.18957 | null |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| AIGC-Chain: A Blockchain-Enabled Full Lifecycle Recording System for AIGC Product Copyright Management | Jiajia Jiang | arixv | 2024 | https://arxiv.org/abs/2406.14966 | null |
| PID: Prompt-Independent Data Protection Against Latent Diffusion Models | Ang Li | arxiv | 2024 | https://arxiv.org/abs/2406.15305 | null |
| Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models | Shawn Shan | USENIX Security | 2023 | https://arxiv.org/abs/2302.04222 | null |
| Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis | Yihan Ma | arxiv | 2023 | https://arxiv.org/abs/2306.07754 | null |
| Toward effective protection against diffusion based mimicry through score distillation | Haotian Xue | arxiv | 2023 | https://arxiv.org/abs/2311.12832 | https://github.com/xavihart/Diff-Protect |
| A Watermark-Conditioned Diffusion Model for IP Protection | Rui Min | arxiv | 2024 | https://arxiv.org/abs/2403.10893 | null |
| RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees | Xun Xian | arxiv | 2024 | https://arxiv.org/abs/2403.18774 | null |
| A Training-Free Plug-and-Play Watermark Framework for Stable Diffusion | Guokai Zhang | arxiv | 2024 | https://arxiv.org/abs/2404.05607 | null |
| Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models | Zijin Yang | arxiv | 2024 | https://arxiv.org/abs/2404.04956 | null |
| Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable | Haozhe Liu | arxiv | 2024 | https://arxiv.org/abs/2405.00466 | null |
| DiffuseTrace: A Transparent and Flexible Watermarking Scheme for Latent Diffusion Model | Liangqi Lei | arxiv | 2024 | https://arxiv.org/abs/2405.02696 | null |
| AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA | Weitao Feng | arxiv | 2024 | https://arxiv.org/abs/2405.11135 | null |
| A Recipe for Watermarking Diffusion Models | Yunqing Zhao | arixv | 2023 | https://arxiv.org/abs/2303.10137 | https://github.com/yunqing-me/WatermarkDM |
| Watermarking Diffusion Model | Yugeng Liu | arxiv | 2023 | https://arxiv.org/abs/2305.12502 | null |
| Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust | Yuxin Wen | arxiv | 2023 | https://arxiv.org/abs/2305.20030 | https://github.com/YuxinWenRick/tree-ring-watermark |
| Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation | Aditya Desu | arxiv | 2024 | https://arxiv.org/abs/2402.16889 | null |
| Erasing Concepts from Diffusion Models | Rohit Gandikota | arxiv | 2023 | https://arxiv.org/abs/2303.07345 | https://erasing.baulab.info/ |
| Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples | Chumeng Liang | ICML | 2023 | https://arxiv.org/abs/2302.04578 | https://github.com/mist-project/mist.git |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| A Transfer Attack to Image Watermarks | Yuepeng Hu | arxiv | 2024 | https://arxiv.org/abs/2403.15365 | null |
| Disguised Copyright Infringement of Latent Diffusion Models | Yiwei Lu | arxiv | 2024 | https://arxiv.org/abs/2404.06737 | https://github.com/watml/disguised_copyright_infringement |
| Stable Signature is Unstable: Removing Image Watermark from Diffusion Models | Yuepeng Hu | arxiv | 2024 | https://arxiv.org/abs/2405.07145 | null |
| UnMarker: A Universal Attack on Defensive Watermarking | Andre Kassis | arxiv | 2024 | https://arxiv.org/abs/2405.08363 | null |
| FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via Selective Tensor Freezing | Kai Huang | arxiv | 2024 | https://arxiv.org/abs/2405.17472 | null |
| Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI | Robert Hönig | arxiv | 2024 | https://arxiv.org/abs/2406.12027 | null |
| EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations | Jie Ren | arxiv | 2024 | https://arxiv.org/abs/2406.13933 | null |
| Leveraging Optimization for Adaptive Attacks on Image Watermarks | Nils Lukas | ICLR | 2024 | https://openreview.net/pdf?id=O9PArxKLe1 | null |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Copyright Protection in Generative AI: A Technical Perspective | Jie Ren | arxiv | 2024 | https://arxiv.org/abs/2402.02333 | null |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Recovering the Pre-Fine-Tuning Weights of Generative Models | Eliahu Horwitz | arxiv | 2024 | https://arxiv.org/abs/2402.10208 | null |
| Membership Inference Attacks Against Text-to-image Generation Models | Yixin Wu | arxiv | 2022 | https://arxiv.org/abs/2210.00968 | null |
| Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations | Lukas Struppek | arxiv | 2023 | https://arxiv.org/abs/2303.09289 | null |
| White-box Membership Inference Attacks against Diffusion Models | Yan Pang | arxiv | 2023 | https://arxiv.org/abs/2308.06405 | null |
| An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization | Fei Kong | ICLR | 2024 | https://openreview.net/pdf?id=rpH9FcCEV6 | https://github.com/kong13661/PIA |
| Black-box Membership Inference Attacks against Fine-tuned Diffusion Models | Yan Pang | arxiv | 2023 | https://arxiv.org/abs/2312.08207 | null |
| Prompt Stealing Attacks Against Text-to-Image Generation Models | Xinyue Shen | arxiv | 2023 | https://arxiv.org/abs/2302.09923 | null |
| Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk | Zhangheng Li | arxiv | 2024 | https://arxiv.org/html/2403.09450v1 | https://github.com/VITA-Group/Shake-to-Leak |
| Is Diffusion Model Safe? Severe Data Leakage via Gradient-Guided Diffusion Model | Jiayang Meng | arxiv | 2024 | https://arxiv.org/abs/2406.09484 | null |
| Extracting Training Data from Unconditional Diffusion Models | Yunhao Chen | arxiv | 2024 | https://arxiv.org/abs/2406.12752 | null |
| Extracting Training Data from Diffusion Models | Nicholas Carlini | arxiv | 2023 | https://arxiv.org/abs/2301.13188 | null |
| Towards Black-Box Membership Inference Attack for Diffusion Models | Jingwei Li | arxiv | 2024 | https://arxiv.org/abs/2405.20771 | null |
| Visual Privacy Auditing with Diffusion Models | Kristian Schwethelm | arxiv | 2024 | https://arxiv.org/abs/2403.07588 | null |
| Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy | Shengfang Zhai | arxiv | 2024 | https://arxiv.org/abs/2405.14800 | null |
| Extracting Prompts by Inverting LLM Outputs | Collin Zhang | arxiv | 2024 | https://arxiv.org/abs/2405.15012 | null |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Differentially Private Fine-Tuning of Diffusion Models | Yu-Lin Tsai | arxiv | 2024 | https://arxiv.org/abs/2406.01355 | https://anonymous.4open.science/r/DP-LORA-F02F |
| Privacy-Preserving Diffusion Model Using Homomorphic Encryption | Yaojian Chen | arxiv | 2024 | https://arxiv.org/abs/2403.05794 | null |
| Efficient Differentially Private Fine-Tuning of Diffusion Models | Jing Liu | arxiv | 2024 | https://arxiv.org/abs/2406.05257 | null |
| Differentially Private Synthetic Data via Foundation Model APIs 1: Images | Zinan Lin | ICLR | 2024 | https://openreview.net/pdf?id=YEhQs8POIo | https://github.com/microsoft/DPSDA |
| Anti-DreamBooth: Protecting users from personalized text-to-image synthesis | Thanh Van Le | ICCV | 2023 | https://arxiv.org/abs/2303.15433 | https://github.com/VinAIResearch/Anti-DreamBooth.git |
| Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation | Zhengyue Zhao | arxiv | 2023 | https://arxiv.org/abs/2306.01902 | null |
| Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? | Zhengyue Zhao | arxiv | 2023 | https://arxiv.org/abs/2312.00084 | null |
| MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning | Yixin Liu | arxiv | 2023 | https://arxiv.org/abs/2311.13127 | https://github.com/liuyixin-louis/MetaCloak |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications | Junlin Wang | arxiv | 2024 | https://arxiv.org/abs/2406.06737 | https://github.com/M0gician/RaccoonBench |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation | Chongyu Fan | ICLR | 2024 | https://openreview.net/pdf?id=gn0mIhQGNM | https://github.com/OPTML-Group/Unlearn-Saliency |
| Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? | Yu-Lin Tsai | ICLR | 2024 | https://openreview.net/pdf?id=lm7MRcsFiS | https://github.com/chiayi-hsu/Ring-A-Bell |
| Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models | Yimeng Zhang | arxiv | 2024 | https://arxiv.org/abs/2405.15234 | https://github.com/OPTML-Group/AdvUnlearn |
| Espresso: Robust Concept Filtering in Text-to-Image Models | Anudeep Das | arxiv | 2024 | https://arxiv.org/abs/2404.19227 | null |
| Machine Unlearning for Image-to-Image Generative Models | Guihong Li | arxiv | 2024 | https://arxiv.org/abs/2402.00351 | https://github.com/jpmorganchase/l2l-generator-unlearning |
| MACE: Mass Concept Erasure in Diffusion Models | Shilin Lu | arxiv | 2024 | https://arxiv.org/abs/2403.06135 | https://github.com/Shilin-LU/MACE |
| Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention | Jie Ren | arxiv | 2024 | https://arxiv.org/abs/2403.11052 | https://github.com/renjie3/MemAttn |
| Could It Be Generated? Towards Practical Analysis of Memorization in Text-To-Image Diffusion Models | Zhe Ma | arxiv | 2024 | https://arxiv.org/abs/2405.05846 | null |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape | Sifat Muhammad Abdullah | S&P | 2024 | https://arxiv.org/abs/2404.16212 | null |
| Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks | Mehrdad Saberi | ICLR | 2024 | https://openreview.net/pdf?id=dLoAdIKENc | https://github.com/mehrdadsaberi/watermark_robustness |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection | Yan Ju | arxiv | 2024 | https://arxiv.org/abs/2404.13146 | null |
| DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models | Zeyang Sha | arxiv | 2022 | https://arxiv.org/abs/2210.06998 | null |
| Organic or Diffused: Can We Distinguish Human Art from AI-generated Images? | Anna Yoo Jeong Ha | arxiv | 2024 | https://arxiv.org/abs/2402.03214 | null |
| Watermark-based Detection and Attribution of AI-Generated Content | Zhengyuan Jiang | arxiv | 2024 | https://arxiv.org/abs/2404.04254 | null |
| An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape | Sifat Muhammad Abdullah | S&P | 2024 | https://arxiv.org/abs/2404.16212 | null |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking | Yuying Li | arxiv | 2024 | https://arxiv.org/abs/2404.14581 | null |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Finetuning Text-to-Image Diffusion Models for Fairness | Xudong Shen | ICLR | 2024 | https://openreview.net/pdf?id=hnrB5YHoYu | https://sail-sg.github.io/finetune-fair-diffusion/ |
| ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation | Akshita Jha | arxiv | 2024 | https://arxiv.org/abs/2401.06310 | null |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis | Lukas Struppek | ICCV | 2023 | https://arxiv.org/abs/2211.02408 | null |
| Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion | Hossein Souri | arxiv | 2024 | https://arxiv.org/abs/2403.16365 | null |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Diffusion Denoising as a Certified Defense against Clean-label Poisoning | Sanghyun Hong | arxiv | 2024 | https://arxiv.org/abs/2403.11981 | null |
| Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data | NeurIPS Workshop | 2023 | https://arxiv.org/abs/2310.06372 | null | |
| UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models | Zihan Guan | arxiv | 2024 | https://arxiv.org/abs/2404.01101 | https://github.com/GuanZihan/official_UFID |
| Invisible Backdoor Attacks on Diffusion Models | arxiv | 2024 | https://arxiv.org/abs/2406.00816 | https://github.com/invisibleTriggerDiffusion/invisible_triggers_for_diffusion | |
| Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models | Changjiang Li | arxiv | 2024 | https://arxiv.org/abs/2406.09669 | null |
| Injecting Bias in Text-To-Image Models via Composite-Trigger Backdoors | Ali Naseh | arxiv | 2024 | https://arxiv.org/abs/2406.15213 | null |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability | Haotian Xue | NeurIPS | 2023 | https://arxiv.org/abs/2305.16494 | https://github.com/xavihart/Diff-PGD |
| Stable Diffusion is Unstable | Chengbin Du | arxiv | 2023 | https://arxiv.org/abs/2306.02583 | null |
| DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification | Mintong Kang | NeurIPS | 2023 | https://arxiv.org/abs/2311.16124 | null |
| Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability | Junxi Chen | arxiv | 2024 | https://arxiv.org/abs/2401.07087 | null |
| Revealing Vulnerabilities in Stable Diffusion via Targeted Attacks | Chenyu Zhang | arxiv | 2024 | https://arxiv.org/abs/2401.08725 | https://github.com/datar001/Revealing-Vulnerabilities-in-Stable-Diffusion-via-Targeted-Attacks |
| Cheating Suffix: Targeted Attack to Text-To-Image Diffusion Models with Multi-Modal Priors | Dingcheng Yang | arxiv | 2024 | https://arxiv.org/abs/2402.01369 | https://github.com/ydc123/MMP-Attack |
| Groot: Adversarial Testing for Generative Text-to-Image Models with Tree-based Semantic Transformation | Yi Liu | arxiv | 2024 | https://arxiv.org/abs/2402.12100 | null |
| BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators | Yu Tian | arxiv | 2024 | https://arxiv.org/abs/2402.15218 | null |
| Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models | Jingyao Xu | arxiv | 2024 | https://arxiv.org/abs/2404.15081 | null |
| Investigating and Defending Shortcut Learning in Personalized Diffusion Models | Yixin Liu | arxiv | 2024 | https://arxiv.org/abs/2406.18944 | null |
| Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models | Yiting Qu | arxiv | 2024 | https://arxiv.org/abs/2305.13873 | null |
| ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users | arxiv | 2024 | https://arxiv.org/abs/2405.19360 | https://github.com/GuanlinLee/ART |
| Title | Author | Publish | Year | Link | Source Code |
|---|---|---|---|---|---|
| Raising the Cost of Malicious AI-Powered Image Editing | Hadi Salman | arxiv | 2023 | https://arxiv.org/abs/2302.06588 | null |
| Adversarial Examples are Misaligned in Diffusion Model Manifolds | Peter Lorenz | arxiv | 2024 | https://arxiv.org/abs/2401.06637 | null |
| Universal Prompt Optimizer for Safe Text-to-Image Generation | Zongyu Wu | NAACL | 2024 | https://arxiv.org/abs/2402.10882 | https://github.com/wzongyu/POSI |
| Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation | Jessica Quaye | arxiv | 2024 | https://arxiv.org/abs/2403.12075 | null |
| SafeGen: Mitigating Unsafe Content Generation in Text-to-Image Models | Xinfeng Li | arxiv | 2024 | https://arxiv.org/abs/2404.06666 | null |
| Title | Author | Venue | Year | Link | Source Code |
|---|---|---|---|---|---|
| Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training | Evan Hubinger | arxiv | 2024 | https://arxiv.org/abs/2401.05566 | null |
| BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents | Yifei Wang | ACL | 2024 | https://arxiv.org/abs/2406.03007 | https://github.com/DPamK/BadAgent |
| Title | Author | Venue | Year | Link | Source Code |
|---|---|---|---|---|---|
| Large Language Model Sentinel: Advancing Adversarial Robustness by LLM Agent | Guang Lin | arxiv | 2024 | https://arxiv.org/abs/2405.20770 | null |
| Adversarial Attacks on Multimodal Agents | Chen Henry Wu | arxiv | 2024 | https://arxiv.org/abs/2406.12814 | https://github.com/ChenWu98/agent-attack |
| AgentDojo: A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents | Edoardo Debenedetti | arxiv | 2024 | https://arxiv.org/abs/2406.13352 | https://github.com/ethz-spylab/agentdojo |
| GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning | Zhen Xiang | arxiv | 2024 | https://arxiv.org/abs/2406.09187 | null |
| Title | Author | Venue | Year | Link | Source Code |
|---|---|---|---|---|---|
| Evil Geniuses: Delving into the Safety of LLM-based Agents | Yu Tian | arxiv | 2023 | https://arxiv.org/abs/2311.11855 | https://github.com/T1aNS1R/Evil-Geniuses |
| Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast | Xiangming Gu | ICML | 2024 | https://arxiv.org/abs/2402.08567 | https://sail-sg.github.io/Agent-Smith/ |
| AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks | Yifan Zeng | arxiv | 2024 | https://arxiv.org/abs/2403.04783 | https://github.com/XHMY/AutoDefense |
| Title | Author | Venue | Year | Link | Source Code |
|---|---|---|---|---|---|
| WIPI: A New Web Threat for LLM-Driven Web Agents | Fangzhou Wu | arxiv | 2024 | https://arxiv.org/abs/2402.16965 | null |
| InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents | Qiusi Zhan | arxiv | 2024 | https://arxiv.org/abs/2403.02691 | https://github.com/uiuc-kang-lab/InjecAgent |
| Title | Author | Venue | Year | Link | Source Code |
|---|---|---|---|---|---|
| Improving Factuality and Reasoning in Language Models through Multiagent Debate | Yilun Du | arxiv | 2023 | https://arxiv.org/abs/2305.14325 | null |
| MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework | ICLR | 2024 | https://openreview.net/pdf?id=VtmBAGCN7o | null | |
| Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate | Kyungha Kim | arxiv | 2024 | https://arxiv.org/abs/2402.07401 | null |
| Title | Author | Venue | Year | Link | Source Code |
|---|---|---|---|---|---|
| Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning | Peizhong Ju | ICLR | 2024 | https://openreview.net/pdf?id=yoVq2BGQdP | null |
| Agent Alignment in Evolving Social Norms | Shimin Li | arxiv | 2024 | https://arxiv.org/abs/2401.04620 | null |
| Air Gap: Protecting Privacy-Conscious Conversational Agents | Eugene Bagdasaryan | arxiv | 2024 | https://arxiv.org/abs/2405.05175 | null |
| Secret Collusion Among Generative AI Agents | Sumeet Ramesh Motwani | arxiv | 2024 | https://arxiv.org/abs/2402.07510v1 | null |
| Title | Author | Venue | Year | Link | Source Code |
|---|---|---|---|---|---|
| Security of AI Agents | Yifeng He | arxiv | 2024 | https://arxiv.org/abs/2406.08689 | null |
| Title | Organizer | Year | Link | Category |
|---|---|---|---|---|
| Machine Learning Model Attribution Challenge | MITRE | 2022 | https://mlmac.io/ | Privacy |
| Training Data Extraction Challenge | 2022 | https://github.com/google-research/lm-extraction-benchmark | Privacy | |
| Find the Trojan: Universal Backdoor Detection in Aligned LLMs | ETHZ | 2024 | https://github.com/ethz-spylab/rlhf_trojan_competition | Security |
| LLM - Detect AI Generated Text | The Learning Agency Lab | 2023 | https://www.kaggle.com/competitions/llm-detect-ai-generated-text/overview | Deepfake |
| Deepfake Detection Challenge | Kaggle | 2019 | https://www.kaggle.com/c/deepfake-detection-challenge | Deepfake |
| Large Language Model Capture-the-Flag (LLM CTF) Competition | Kaggle | 2024 | https://ctf.spylab.ai/ | Safety |
| Title | First Author | Publish | Year | Link |
|---|---|---|---|---|
| LLM Safety Leaderboard | Boxin Wang | NeurIPS | 2023 | https://huggingface.co/spaces/AI-Secure/llm-trustworthy-leaderboard |
| Hallucinations Leaderboard | Pasquale Minervini | null | 2023 | https://huggingface.co/spaces/hallucinations-leaderboard/leaderboard |
| JailbreakBench | Patrick Chao | arxiv | 2024 | https://jailbreakbench.github.io/ |
| A Comprehensive Study of Trustworthiness in Large Language Models. | Lichao Sun | arxiv | 2024 | https://trustllmbenchmark.github.io/TrustLLM-Website/leaderboard.html |
| PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts | Kaijie Zhu | arxiv | 2023 | https://llm-eval.github.io/pages/leaderboard/advprompt.html |
| Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents | Vectara | github | 2023 | https://github.com/vectara/hallucination-leaderboard |
| Title | Institution | Year | Link |
|---|---|---|---|
| LMSYS Chatbot Arena (Multimodal): Benchmarking LLMs and VLMs in the Wild | LMSYS Org | 2024 | https://arena.lmsys.org/ |
| 中文大模型竞技场 | ModelScope | 2024 | https://modelscope.cn/studios/LLMZOO/Chinese-Arena/summary |
| 司南 OpenCompass 大模型竞技场 | Shanghai AI Lab | 2024 | https://opencompass.org.cn/arena |
| 模型广场 | Coze | 2024 | https://www.coze.cn/model/arena |
| Title | Author | Publish | Year | Link |
|---|---|---|---|---|
| Adversarial Machine Learning A Taxonomy and Terminology of Attacks and Mitigations | Apostol Vassilev | online | 2024 | https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-2e2023.pdf |
| 人工智能安全 | 方滨兴 | 电子工业出版社 | 2022 | null |
| 人工智能安全 | 曾剑平 | 清华大学出版社 | 2022 | null |
| 人工智能安全 | 陈左宁 | 电子工业出版社 | 2024 | null |
| AI安全:技术与实战 | 腾讯安全朱雀实验室 | 电子工业出版社 | 2022 | null |
| Trustworthy Machine Learning | Kush R. Varshney | null | 2022 | null |
| 人工智能:数据与模型安全 | 姜育刚 | 机械工业出版社 | 2024 | null |
- Organizers: Zonghao Ying(应宗浩)
