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MPClan: Protocol Suite for Privacy-Conscious Computations. (arXiv:2206.12224v1 [cs.CR])
June 27, 2022, 1:20 a.m. | Nishat Koti, Shravani Patil, Arpita Patra, Ajith Suresh
cs.CR updates on arXiv.org arxiv.org
The growing volumes of data being collected and its analysis to provide
better services are creating worries about digital privacy. To address privacy
concerns and give practical solutions, the literature has relied on secure
multiparty computation. However, recent research has mostly focused on the
small-party honest-majority setting of up to four parties, noting efficiency
concerns. In this work, we extend the strategies to support a larger number of
participants in an honest-majority setting with efficiency at the center stage.
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