Efficient Automated Attacker for Boosting Adversarial Training

Based on the significant improvement of model robustness by A T (Adversarial Training), various variants have been proposed to further boost the performance. Well-recognized methods have focused on different components of A T (e.g., designing loss functions and leveraging additional unlabeled data).