C²R improves robust accuracy in distilled datasets by 2.8% on average by coupling an attack-aware margin-based curriculum with a class-balanced contrastive robustness objective.
Bernstein and Alexander C
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Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust?
C²R improves robust accuracy in distilled datasets by 2.8% on average by coupling an attack-aware margin-based curriculum with a class-balanced contrastive robustness objective.