Backdoor Defense for Data-Free Distillation with Poisoned Teachers
1 papers with code • 0 benchmarks • 0 datasets
Defend against backdoor attack from poisoned teachers.
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Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
illidanlab/abd
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Data-free knowledge distillation (KD) helps transfer knowledge from a pre-trained model (known as the teacher model) to a smaller model (known as the student model) without access to the original training data used for training the teacher model.
