Secure Multiparty Computation for Privacy-Preserving Data Mining
作者： Yehuda Lindell , Benny Pinkas
关键词:
摘要: In this paper, we survey the basic paradigms and notions of secure mul- tiparty computation discuss their relevance to fleld privacy-preserving data mining. addition reviewing deflnitions constructions for computation, issue e-ciency demonstrate di-cul- ties involved in constructing highly e-cient protocols. We also present common errors that are prevalent literature when multiparty techniques applied Finally, relationship between mining, show which problems it solves does not.
journalprivacyconfidentiality.org
biu.ac.il 
sci-hub.st 参考文章(41)
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