Yang, Liyuan (2023) Random Aggregation: Differential Privacy in k-Anonymity. In: Proceedings of the International Conference on Financial Innovation, FinTech and Information Technology, FFIT 2022, October 28-30, 2022, Shenzhen, China.
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Abstract
Microaggregation is used to solve the problem of privacy protection. A new method of microaggregation is proposed in this paper to satisfy differential privacy. It adds random noises to the centroids of equivalence classes, which reduces the risks of differential attacks and link attacks. Since the
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:10 |
| Last Modified: | 17 Apr 2026 03:23 |
| URI: | http://eprints.eai.eu/id/eprint/42635 |
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