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A Self-Supervised Purification Mechanism for Adversarial Samples
This paper proposes a purification mechanism that combines both adversarial training-based and input processing-based methods to defend the threats of adversarial samples.
Bingyi Xie, Honghui Xu 许宏辉, Zuobin Xiong, Yingshu Li, Zhipeng Cai
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A Self-Supervised Purification Mechanism for Adversarial Samples
Which Option is a Better Way to Improve Transfer Learning Performance?
A theoretical analysis is in desired need to help us fully understand how to efficiently improve transfer learning performance
Honghui Xu 许宏辉, Zhipeng Cai, Wei Li
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Which Option is a Better Way to Improve Transfer Learning Performance?