特约专栏。

Rafael Pass, Muthuramakrishnan Venkitasubramaniam
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引用次数: 0

摘要

我们通过交互式谜题的镜头回顾了平均情况复杂性的研究-在计算有限的挑战者和计算有限的求解者/攻击者之间的交互式游戏。最值得注意的是,我们使用这种处理方法来回顾最近的一个结果,该结果表明,如果NP是难以平均的,那么在NP语言的真陈述上存在可抽样分布,而概率多项式时间算法无法找到证据。我们还讨论了NP中的平均情况硬度是否意味着TFNP中的平均情况硬度,或者密码单向函数的存在性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Guest Column
We review a study of average-case complexity through the lens of interactive puzzles- interactive games between a computationally bounded Challenger and computationally-bounded Solver/Attacker. Most notably, we use this treatment to review a recent result showing that if NP is hard-on-the-average, then there exists a sampleable distribution over only true statements of an NP language, for which no probabilistic polynomial time algorithm can find witnesses. We also discuss connections to the problem of whether average-case hardness in NP implies averagecase hardness in TFNP, or the existence of cryptographic one-way functions.
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