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  • 标题:How to Garble Arithmetic Circuits
  • 本地全文:下载
  • 作者:Benny Applebaum ; Yuval Ishai ; Eyal Kushilevitz
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2012
  • 卷号:2012
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:Yao's garbled circuit construction transforms a boolean circuit C:01n01m into a ``garbled circuit'' C along with n pairs of k-bit keys, one for each input bit, such that C together with the n keys corresponding to an input x reveal C(x) and no additional information about x. The garbled circuit construction is a central tool for constant-round secure computation and has several other applications. Motivated by these applications, we suggest an efficient arithmetic variant of Yao's original construction. Our construction transforms an arithmetic circuit C:ZnZm over integers from a bounded (but possibly exponential) range into a garbled circuit C along with n affine functions Li:ZZk such that C together with the n integer vectors Li(xi) reveal C(x) and no additional information about x. The security of our construction relies on the intractability of the learning with errors (LWE) problem.
  • 关键词:encoding, Garbled-Circuit, MPC, Randomized
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