A multi-teacher adversarial robustness distillation method (MTKD-AR) trains a clean-data student using cosine-similarity-weighted logits from adversarially trained teachers, reporting improved robustness on MNIST and Fashion-MNIST.
Adversarially robust distillation,
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Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation
A multi-teacher adversarial robustness distillation method (MTKD-AR) trains a clean-data student using cosine-similarity-weighted logits from adversarially trained teachers, reporting improved robustness on MNIST and Fashion-MNIST.