Mitigating membership inference attacks via weighted smoothing

Recent advancements in deep learning have spotlighted a crucial privacy vulnerability to membership inference attack (MIA), where adversaries can determine if specific data was present in a training set, thus potentially revealing sensitive information. In this paper, we introduce a technique, weigh...

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Main Authors: TAN, Minghan, XIE, Xiaofei, SUN, Jun, WANG, Tianhao
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語言:English
出版: Institutional Knowledge at Singapore Management University 2023
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/8613
https://ink.library.smu.edu.sg/context/sis_research/article/9616/viewcontent/MitigatingMembership_pvoa_cc_by.pdf
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機構: Singapore Management University
語言: English

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