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  • 标题:One-Way Functions and a Conditional Variant of MKTP
  • 本地全文:下载
  • 作者:Allender, Eric ; Cheraghchi, Mahdi ; Myrisiotis, Dimitrios
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2021
  • 卷号:213
  • DOI:10.4230/LIPIcs.FSTTCS.2021.7
  • 语种:English
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:One-way functions (OWFs) are central objects of study in cryptography and computational complexity theory. In a seminal work, Liu and Pass (FOCS 2020) proved that the average-case hardness of computing time-bounded Kolmogorov complexity is equivalent to the existence of OWFs. It remained an open problem to establish such an equivalence for the average-case hardness of some natural NP-complete problem. In this paper, we make progress on this question by studying a conditional variant of the Minimum KT-complexity Problem (MKTP), which we call McKTP, as follows. 1) First, we prove that if McKTP is average-case hard on a polynomial fraction of its instances, then there exist OWFs. 2) Then, we observe that McKTP is NP-complete under polynomial-time randomized reductions. 3) Finally, we prove that the existence of OWFs implies the nontrivial average-case hardness of McKTP. Thus the existence of OWFs is inextricably linked to the average-case hardness of this NP-complete problem. In fact, building on recently-announced results of Ren and Santhanam [Rahul Ilango et al., 2021], we show that McKTP is hard-on-average if and only if there are logspace-computable OWFs.
  • 关键词:Kolmogorov complexity;KT Complexity;Minimum KT-complexity Problem;MKTP;Conditional KT Complexity;Minimum Conditional KT-complexity Problem;McKTP;one-way functions;OWFs;average-case hardness;pseudorandom generators;PRGs;pseudorandom functions;PRFs;distinguishers;learning algorithms;NP-completeness;reductions
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