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  • 标题:Tight Computational Indistinguishability Bound of Product Distribution
  • 本地全文:下载
  • 作者:Nathan Geier
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2021
  • 卷号:21
  • 语种:English
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:Assume that X0X1 (respectively Y0Y1 ) are dX (respectively dY) indistinguishable for circuits of a given size. It is well known that the product distributions X0Y0X1Y1 are dX+dY indistinguishable for slightly smaller circuits. However, in probability theory where unbounded adversaries are considered through statistical distance, it is folklore knowledge that in fact X0Y0 and X1Y1 are dX+dY−dXdY indistinguishable, and also that this bound is tight. We formulate and prove the computational analog of this tight bound. Our proof is entirely different from the proof in the statistical case, which is non-constructive. As a corollary, we show that if X and Y are d indistinguishable, then k independent copies of X and k independent copies of Y are almost 1−(1−d)k indistinguishable for smaller circuits, as against dk using the looser bound. Our bounds are useful in settings where only weak (i.e. non-negligible) indistinguishability is guaranteed. We demonstrate this in the context of cryptography, showing that our bounds yield simple analysis for amplification of weak oblivious transfer protocols.
  • 关键词:Computational Indistinguishability;Direct product
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