Adversarial Training for Gradient Descent: Analysis Through its Continuous-time Approximation

Haotian Gu, Xin Guo, Xinyu Li

Adversarial training has gained great popularity as one of the most effective defenses for deep neural network and more generally for gradient-based machine learning models against…