This project forked from mathcbc/advgan_pytorch
a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
python3 train_target_model.pypython3 main.pypython3 test_adversarial_examples.pyattack success rate in the MNIST test set: 99%
NOTE: My implementation is a little different from the paper, because I add a clipping trick.
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