Towards Fairness-Aware Adversarial Learning

Yanghao Zhang, Tianle Zhang, Ronghui Mu +2

Although adversarial training (AT) has proven effective in enhancing the model's robustness, the recently revealed issue of fairness in robustness has not been well addressed, i.e.…