【摘 要】
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Privacy-preserving computation realizes joint computation among multiple mu-tually distrustful participants while pre-serving the privacy of the computation,which has a wide range of applications in the data industry.In the context of cryp-tography,privac
【机 构】
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The Department of Computer Science and Engineering,Shanghai Jiao Tong University,China;Shanghai Qi Z
论文部分内容阅读
Privacy-preserving computation realizes joint computation among multiple mu-tually distrustful participants while pre-serving the privacy of the computation,which has a wide range of applications in the data industry.In the context of cryp-tography,privacy-preserving technolo-gies refer to those that involve one or more of the following:multiparty com-putation (MPC),zero-knowledge proof(ZKP) and fully homomorphic encryp-tion (FHE).We introduce these tech-nologies below with machine learning applications as concrete examples.
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