RL-FAT: Reinforcement Learning for Fair Adversarial Training

Tejaswini Medi, Levan Mikeladze, Margret Keuper

Deep neural networks remain highly vulnerable to adversarial perturbations, and adversarial training (AT) has become a widely used approach for improving robustness. However, impro…