The Power of Many: Synergistic Unification of Diverse Augmentations for Efficient Adversarial Robustness

Wang Yu-Hang, Shiwei Li, Jianxiang Liao +3

Adversarial perturbations pose a significant threat to deep learning models. Adversarial Training (AT), the predominant defense method, faces challenges of high computational costs…