Wang Yu-Hang

TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions

Adversarial robustness remains a significant challenge in deploying deep neural networks for real-world applications. While adversarial training is widely acknowledged as a promising defense strategy, most existing studies primarily focus on balanced datasets, neglecting the fact that real-world dat…