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University of Exeter
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Long-tailed adversarial training can be revolutionized by leveraging confusion geometry to boost the robustness of vulnerable classes and sharpen critical decision boundaries.
Low-confidence training samples are secretly sabotaging your fast adversarial training, leading to catastrophic overfitting and a worse robustness-accuracy trade-off.
