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- W2405163796 abstract "The problem of secure friend discovery on a social network has long been proposed and studied. The requirement is that a pair of nodes can make befriending decisions with minimum information exposed to the other party. In this paper, we propose to use community detection to tackle the problem of secure friend discovery. We formulate the first privacy-preserving and decentralized community detection problem as a multi-objective optimization. We design the first protocol to solve this problem, which transforms community detection to a series of Private Set Intersection (PSI) instances using Truncated Random Walk (TRW). Preliminary theoretical results show that our protocol can uncover communities with overwhelming probability and preserve privacy. We also discuss future works, potential extensions and variations." @default.
- W2405163796 created "2016-06-24" @default.
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- W2405163796 date "2014-05-20" @default.
- W2405163796 modified "2023-09-25" @default.
- W2405163796 title "Secure Friend Discovery via Privacy-Preserving and Decentralized Community Detection" @default.
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- W2405163796 doi "https://doi.org/10.48550/arxiv.1405.4951" @default.
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