Hai-Yan Li

Enhancing local robustness with Hölder regularization.

Deep neural networks (DNNs) are vulnerable to small input perturbations, resulting in instability and adversarial susceptibility. While adversarial training methods such as PGD-AT and TRADES improve robustness by generating worst-case adversarial examples, they do not explicitly regulate the model's local smoothness. I...