指数相关随机性是通信最优完全安全两方计算的必要条件

Keitaro Hiwatashi, K. Nuida
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引用次数: 0

摘要

安全的两方计算是一种加密技术,它使双方能够共同计算一个函数,同时对每个输入保密。众所周知,大多数函数无法通过信息安全的两方计算实现,但在相关随机性(CR)模型中,任何函数都可以实现,其中可信的经销商事先将与输入无关的CR分发给各方。在CR模型中,主要考虑三种复杂性;CR的大小,轮数
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Exponential Correlated Randomness Is Necessary in Communication-Optimal Perfectly Secure Two-Party Computation
Secure two-party computation is a cryptographic technique that enables two parties to compute a function jointly while keeping each input secret. It is known that most functions cannot be realized by information-theoretically secure two-party computation, but any function can be realized in the correlated randomness (CR) model, where a trusted dealer distributes input-independent CR to the parties beforehand. In the CR model, three kinds of complexities are mainly considered; the size of CR, the number of rounds
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Csirmaz's Duality Conjecture and Threshold Secret Sharing Online Mergers and Applications to Registration-Based Encryption and Accumulators Exponential Correlated Randomness Is Necessary in Communication-Optimal Perfectly Secure Two-Party Computation The Cost of Statistical Security in Proofs for Repeated Squaring Tight Estimate of the Local Leakage Resilience of the Additive Secret-Sharing Scheme & Its Consequences
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