LinkCodeAttack

Links --> github of the attack method:


Towards Evaluating the Robustness of Neural Networks
https://github.com/carlini/nn_robust_attacks

Towards Deep Learning Models Resistant to Adversarial Attacks 
https://github.com/MadryLab/mnist_challenge

CleverHans (latest release: v2.0.0)
https://github.com/tensorflow/cleverhans

Boosting Adversarial Attacks with Momentum
https://github.com/dongyp13/Targeted-Adversarial-Attack

Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Explaining and Harnessing Adversarial Examples
https://github.com/utkuozbulak/pytorch-cnn-adversarial-attacks

Foolbox
https://github.com/bethgelab/foolbox

pytorch-nips2017-attack-example
https://github.com/rwightman/pytorch-nips2017-attack-example

Craft Image Adversarial Samples with Tensorflow
https://github.com/gongzhitaao/tensorflow-adversarial

A simple and accurate method to fool deep neural networks
https://github.com/LTS4/DeepFool

Adversarial Attack with Chainer
https://github.com/naoto0804/chainer-adversarial-examples

Adversarial-Examples-in-PyTorch
https://github.com/akshaychawla/Adversarial-Examples-in-PyTorch