advGAN_pytorch

a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).

training the target model

python3 train_target_model.py

python3 main.py

python3 test_adversarial_examples.py

attack success rate in the MNIST test set: 99%

NOTE: My implementation is a little different from the paper, because I add a clipping trick.

Name	Name	Last commit message	Last commit date
Latest commit History 9 Commits
README.md	README.md
advGAN.py	advGAN.py
main.py	main.py
models.py	models.py
test_adversarial_examples.py	test_adversarial_examples.py
train_target_model.py	train_target_model.py