stackviolator/adversarial-ml-demo

This project investigates the vulnerability of a deep learning-based Traffic Sign Classifier to the Fast Gradient Sign Method (FGSM) adversarial attack, showcasing the susceptibility of such models to adversarial examples and emphasizing the need for robustness.

PureBasicMIT