Kezhao Liu

Consistency Adversarial Training for Robust Decision Boundaries

2024

Adversarial attacks pose a significant threat to the security of deep learning systems. While Adversarial Training (AT) has emerged as a prominent defense strategy, traditional AT methods focus primarily on training with loss-maximizing adversarial samples, …