Mitigating Error Amplification in Fast Adversarial Training
arXiv:2604.24332v1 Announce Type: new
Abstract: Fast Adversarial Training (FAT) has proven effective in enhancing model robustness by encouraging networks to learn perturbation-invariant representations. However, FAT often suffers from catastrophic ov…