Adversarial training with perturbation generator networks

no code implementations • 25 Sep 2019 • Hyeungill Lee, Sungyeob Han, Jungwoo Lee

However, these adversarial attack methods used in these techniques are fixed, making the model stronger only to attacks used in training, which is widely known as an overfitting problem.

Adversarial Attack

Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN

no code implementations • 9 May 2017 • Hyeungill Lee, Sungyeob Han, Jungwoo Lee

The generator network generates an adversarial perturbation that can easily fool the classifier network by using a gradient of each image.

Adversarial Defense Generative Adversarial Network