Unofficial implementation of AIGan from paper "AI-GAN: Attack-Inspired Generation of Adversarial Examples".
Code is based on mathcbc/advGAN_pytorch and ctargon/AdvGAN-tf with my modifications.
python3 train_target_model.py
python3 main.py
python3 test_adversarial_examples.py