Fang Shi

Rethinking Fake Adversarial Examples for Single-Step Adversarial Training

Adversarial training (AT) is a widely adopted defense against adversarial attacks, but its multi-step optimization process for generating adversarial examples leads to substantial computational overhead. To mitigate this, various single-step adversarial training methods have been proposed. However, these models often s...