克服弱期望

Y. Dodis, Yuzhen Yu
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引用次数: 87

摘要

最近,人们对基于弱秘密的密码原语重新产生了兴趣,其中关于秘密的唯一信息是一些非平凡的(最小)熵。从形式化的观点来看,这样的结果需要某个函数f(X)的期望的上界,其中X是所讨论的弱源。我们展示了一个基本不等式,它本质上是由两项上界的“弱期望”,其中第一项与f无关,而第二项仅取决于均匀分布下f的“方差”。相当值得注意的是,作为这个初等不等式的相对简单的推论,我们得到了一些“意想不到的”结果,在一些情况下,显著地简化/改进了处理相同问题的先前技术。例子包括不可延展性提取器、防泄漏对称加密、依赖种子的压缩器和改进的剩余哈希引理的熵损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overcoming weak expectations
Recently, there has been renewed interest in basing cryptographic primitives on weak secrets, where the only information about the secret is some non-trivial amount of (min-) entropy. From a formal point of view, such results require to upper bound the expectation of some function f(X), where X is a weak source in question. We show an elementary inequality which essentially upper bounds such `weak expectation' by two terms, the first of which is independent of f, while the second only depends on the `variance' of f under uniform distribution. Quite remarkably, as relatively simple corollaries of this elementary inequality, we obtain some `unexpected' results, in several cases noticeably simplifying/improving prior techniques for the same problem. Examples include non-malleable extractors, leakage-resilient symmetric encryption, seed-dependent condensers and improved entropy loss for the leftover hash lemma.
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