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  • 标题:A Dichotomy for Local Small-Bias Generators
  • 本地全文:下载
  • 作者:Benny Applebaum ; Andrej Bogdanov ; Alon Rosen
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2011
  • 卷号:2011
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:

    We consider pseudorandom generators in which each output bit depends on a constant number of input bits. Such generators have appealingly simple structure: they can be described by a sparse input-output dependency graph and a small predicate that is applied at each output. Following the works of Cryan and Miltersen (MFCS'01) and by Mossel et al (STOC'03), we focus on the study of ``small-bias" generators (that fool linear distinguishers).

    We prove that for most graphs, all but a handful of ``degenerate'' predicates yield small-bias generators, f:01n01m , with output length m=n1+ for some constant 0">0. Conversely, we show that for most graphs, ``degenerate'' predicates are not secure against linear distinguishers. Taken together, these results expose a dichotomy: every predicate is either very hard or very easy, in the sense that it either yields a small-bias generator for almost all graphs or fails to do so for almost all graphs.

    As a secondary contribution, we attempt to support the view that small-bias is a good measure of pseudorandomness for local functions with large stretch. We do so by demonstrating that resilience to linear distinguishers implies resilience to a larger class of attacks.

  • 关键词:dichotomy; local functions; NC0; small-bias generator
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