Hadi M. Dolatabadi

l∞-Robustness and Beyond: Unleashing Efficient Adversarial Training

"Neural networks are vulnerable to adversarial attacks: adding well-crafted, imperceptible perturbations to their input can modify their output. Adversarial training is one of the most effective approaches in training robust models against such attacks. However, it is much slower than vanilla traini…