Differential privacy and membership inference attacks
The growing use of machine learning on various datasets results in privacy concerns about records of the data being leaked. Membership inference is a type of attack that identifies the members of the training dataset. The research studies a privacy-preserving mechanism, differential privacy, to miti...
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| 主要作者: | |
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| 其他作者: | |
| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
Nanyang Technological University
2023
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/166457 |
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