Popular GitHub Repositories for Pgd Adversarial Attacks

Evaluating CNN robustness against various adversarial attacks, including FGSM and PGD.

WideResNet implementation on MNIST dataset. FGSM and PGD adversarial attacks on standard training, PGD adversarial training, and Feature Scattering adversarial training.

my MA thesis (code, paper & presentation) about adversarial out-of-distribution detection

An University Project for the AI4Cybersecurity class.

2022 Spring Semester, Personal Project Research

Adversarially-robust Image Classifier

The Fast Gradient Sign Method (FGSM) combines a white box approach with a misclassification goal. It tricks a neural network model into making wrong predictions. We use this technique to anonymize images.