2024
Revisiting Adversarial Training Under Long-Tailed Distributions
CVPR 2024poster
Deep neural networks are vulnerable to adversarial attacks leading to erroneous outputs. Adversarial training has been recognized as one of the most effective methods to counter such attacks. However existing adversarial training techniques have predominantly been evaluated on balanced datasets wher…