Mutual Adversarial Training: Learning together is better than going
alone
Mutual Adversarial Training: Learning together is better than going
alone
Recent studies have shown that robustness to adversarial attacks can be transferred across networks. In other words, we can make a weak model more robust with the help of a strong teacher model. We ask if instead of learning from a static teacher, can models "learn together" and "teach each …