Settur Jithamanyu

ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks

Existing self-supervised adversarial training (self-AT) methods rely on hand-crafted adversarial attack strategies for PGD attacks, which fail to adapt to the evolving learning dynamics of the model and do not account for instance-specific characteristics of images. This results in sub-optimal adver…