Research
impact 16
Mitigating Error Amplification in Fast Adversarial Training
Mitigating Error Amplification in Fast Adversarial Training arXiv:2604.24332v1 Announce Type: cross Abstract: Fast Adversarial Training (FAT) has proven effective in enhancing model robustness by encouraging networks to…
Why it matters
The timing matters: fast is converging with shifts in adversarial, which could amplify the downstream impact.