Browse State-of-the-Art › Backdoor Defense for Data-Free Distillation with Poisoned Teachers
Backdoor Defense for Data-Free Distillation with Poisoned Teachers
1 paper with code · 0 benchmarks · 0 datasets archive 2025-07-28
Defend against backdoor attack from poisoned teachers.
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4 Jun 2023 1 repository listed Syntology ran 2 of 7 samples · 5 unverifiedData-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…
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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