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【论文笔记】（防御蒸馏）Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
有关蒸馏 (Distillation)的论文： (2006)Model Compression (2014)Do Deep Nets Really Need to be Deep?--- 论文笔记 (2015)Distilling the Knowledge in a Neural Network--- 论文笔记 摘要 本文提出了防御蒸馏（defensive distillation），主要思想为：使用从DNN中提取的知识来降低