MCAT improves adversarial robustness on long-tailed datasets by constraining examples to class manifolds and enforcing balanced geometric separation.
Geom- etry of long-tailed representation learning: Rebalancing features for skewed distributions
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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.