On the Randomness Cost of Linear Secure Computation : (Invited Presentation)

Yanliang Zhou, Hua Sun, Shengli Fu
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引用次数: 8

Abstract

We consider the problem of secure computation, where K users, each holding an independent message, wish to compute a function on the messages without revealing any additional information. We show that to compute M generic linear independent combinations of the messages securely (i.e., for the linear secure computation problem), it suffices to use $\min\left(\left\lceil\frac{K-M-1}{2}\right\rceil,~M\right)$ randomness symbols per message symbol (i.e., the randomness cost is no larger than $\min\left(\left\lceil\frac{K-M-1}{2}\right\rceil,~M\right)$). The optimality of the achieved randomness cost remains open.
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线性安全计算的随机代价(特邀报告)
我们考虑安全计算问题,其中K个用户,每个用户持有一个独立的消息,希望在不透露任何额外信息的情况下计算消息的函数。我们表明,要安全地计算M个消息的一般线性独立组合(即,对于线性安全计算问题),每个消息符号使用$\min\left(\left\lceil\frac{K-M-1}{2}\right\rceil,~M\right)$随机符号就足够了(即,随机代价不大于$\min\left(\left\lceil\frac{K-M-1}{2}\right\rceil,~M\right)$)。获得的随机代价的最优性仍然是开放的。
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