Manifold-Constrained Adversarial Training for Long-Tailed Robustness via Geometric Alignment
arXiv:2605.02183v1 Announce Type: new
Abstract: Adversarial training is effective on balanced datasets, but its robustness degrades under longtailed class distributions, where tail classes suffer high robust error and unstable decision boundaries. We …