Towards Defeating Misclassification Attacks Against Transfer Learning

29 Aug 2019Bang WuShuo WangXingliang YuanCong WangCarsten RudolphXiangwen Yang

Transfer learning is prevalent as a technique to efficiently generate new models (Student models) based on the knowledge transferred from a pre-trained model (Teacher model). However, Teacher models are often publicly available for sharing and reuse, which inevitably introduces vulnerability to trigger severe attacks against transfer learning systems... (read more)

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