Revisiting Adversarial Training under Long-Tailed Distributions

Xinli Yue, Ningping Mou, Qian Wang +1

Deep neural networks are vulnerable to adversarial attacks, often leading to erroneous outputs. Adversarial training has been recognized as one of the most effective methods to cou…