MCAT improves adversarial robustness on long-tailed datasets by constraining examples to class manifolds and enforcing balanced geometric separation.
Robust long-tailed image classification via adversarial fea- ture re-calibration
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Manifold-Constrained Adversarial Training for Long-Tailed Robustness via Geometric Alignment
MCAT improves adversarial robustness on long-tailed datasets by constraining examples to class manifolds and enforcing balanced geometric separation.