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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Bibliographic Details
Main Authors: TAN, Minghan, XIE, Xiaofei, SUN, Jun, WANG, Tianhao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access: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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Institution: Singapore Management University
Language: English