Second Order Optimization for Adversarial Robustness and Interpretability

Theodoros Tsiligkaridis, Jay Roberts

Deep neural networks are easily fooled by small perturbations known as adversarial attacks. Adversarial Training (AT) is a technique aimed at learning features robust to such attac…