Distinguishing SAT from polynomial-size circuits, through black-box queries

Albert Atserias
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引用次数: 21

Abstract

We may believe SAT does not have small Boolean circuits. But is it possible that some language with small circuits looks indistinguishable from SAT to every polynomial-time bounded adversary? We rule out this possibility. More precisely, assuming SAT does not have small circuits, we show that for every language A with small circuits, there exists a probabilistic polynomial-time algorithm that makes black-box queries to A, and produces, for a given input length, a Boolean formula on which A differs from SAT. A key step for obtaining this result is a new proof of the main result by Gutfreund, Shaltiel, and Ta-Shma reducing average-case hardness to worst-case hardness via uniform adversaries that know the algorithm they fool. The new adversary we construct has the feature of being black-box on the algorithm it fools, so it makes sense in the non-uniform setting as well. Our proof makes use of a refined analysis of the learning algorithm of Bshouty et al
区分SAT从多项式大小的电路,通过黑盒查询
我们可能认为SAT没有小的布尔电路。但是,对于每一个多项式时间有限的对手来说,是否可能有一些带有小电路的语言看起来与SAT没有区别?我们排除了这种可能性。更准确地说,假设SAT没有小电路,我们表明,对于具有小电路的每种语言A,存在一个概率多项式时间算法,该算法对A进行黑箱查询,并在给定的输入长度下产生A与SAT不同的布尔公式。获得该结果的关键步骤是对Gutfreund, Shaltiel,Ta-Shma通过统一的对手将平均情况硬度降低到最坏情况硬度,这些对手知道他们欺骗的算法。我们构建的新对手在其欺骗的算法上具有黑盒特征,因此在非均匀设置中也有意义。我们的证明利用了对Bshouty等人的学习算法的精细分析
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