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Jul 2026

Adversarially Robust Self-Distillation

To mitigate the vulnerability of deep neural networks in the face of adversarial attacks, a variety of defense strategies have been proposed in recent years. Adversarially robust distillation provides an effective approach by transferring knowledge from a robust teacher model to a student model. However, most existing...

Rihao Li, Ran Wang, Meng Hu · 0 citations

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