MCAT improves adversarial robustness on long-tailed datasets by constraining examples to class manifolds and enforcing balanced geometric separation.
Manifold-driven decomposition for adversarial robustness.Frontiers in Computer Science, 5:1274695,
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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.