Nov 25, 2010 · A protocol for computing a functionality is secure if an adversary in this protocol cannot cause more harm than in an ideal computation where ...
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A protocol for computing a functionality is secure if an adversary in this protocol cannot cause more harm than in an ideal computation where parties give ...
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We propose a definition of partial fairness within the standard real-/ideal-world paradigm that addresses deficiencies of prior definitions.
Secure multi-party computation is a subfield of cryptography with the goal of creating methods for parties to jointly compute a function over their inputs ...
A protocol for secure computation is fair if either both parties learn the output or else neither party does.
Sep 15, 2010 · A protocol for secure computation is fair if either both parties learn the output or else neither party does. A seminal result of Cleve ...
Secure computation is a fundamental problem in modern cryptography in which mul- tiple parties join to compute a function of their private inputs without ...
What Is Multiparty Computation? - IEEE Digital Privacy
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Multiparty computation (MPC) allows for multiple parties to share data for computing tasks without revealing each other's data.
In the setting of secure multi-party computation, n participants wish to jointly compute a function while maintaining several security properties, such as the ...
Partial fairness is a relaxation of complete fairness where the security requirement is satisfied within a certain probability bound. This notion is ...