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: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2023
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| Subjects: | |
| 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 |