Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
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Updated
May 16, 2024 - Python
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
Fantastic Robustness Measures: The Secrets of Robust Generalization [NeurIPS 2023]
Official implementation of Segmentation and Complete (SAC) defense.
Official code for "PubDef: Defending Against Transfer Attacks From Public Models" (ICLR 2024)
DeepDefend is an open-source Python library for adversarial attacks and defenses in deep learning models, enhancing the security and robustness of AI systems.
Official code repository for the paper "A Study of the Effects of Transfer Learning on Adversarial Robustness". TMLR 2024.
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