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Privacy with Imperfect Randomness

机译:隐私无瑕的随机性

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We revisit the impossibility of a variety of cryptographic tasks including privacy and differential privacy with imperfect randomness. For traditional notions of privacy, such as security of encryption, commitment or secret sharing schemes, dramatic impossibility results are known [MP90,DOPS04] for several concrete sources R, including a (seemingly) very "nice and friendly" Santha-Vazirani (SV) source. Somewhat surprisingly, Dodis et al. [DLMV12] showed that non-trivial differential privacy is possible with the SV sources. This suggested a qualitative gap between traditional and differential privacy, and left open the question of whether differential privacy is possible with more realistic (i.e., less structured) sources than the SV sources. Motivated by this question, we introduce a new, modular framework for showing strong impossibility results for (both traditional and differential) privacy under a general imperfect source R. As direct corollaries of our framework, we get the following new results: (1) Existing, but quantitatively improved, impossibility results for traditional privacy, but under a wider variety of sources R. (2) First impossibility results for differential privacy for a variety of realistic sources R (including most "block sources", but not the SV source). (3) Any imperfect source allowing (either traditional or differential) privacy under R admits a certain type of deterministic bit extraction from R.
机译:我们重新审视各种加密任务的不可能性,包括隐私和差异隐私,无需随机性。对于传统的隐私概念,例如加密,承诺或秘密共享方案的安全性,戏剧性不可能的结果是已知的几个具体来源R的[MP90,DOP04],包括(看似)非常“友好”的“Santha-Vazirani(SV ) 来源。令人惊讶的是,Dodis等人。 [DLMV12]表明,使用SV源可以实现非琐碎的差异隐私。这提出了传统和差异隐私之间的定性差距,并留下了差异隐私是否可以与比SV来源更具现实(即,较少的结构)来源的问题。受此问题的动机,我们介绍了一个新的模块化框架,用于在一般的不完美源R下表达(传统和差异)隐私的强烈不可能性结果。作为我们框架的直接推论,我们得到以下新结果:(1)现有的新结果但是,但是,对传统隐私的量化改善,不可能的结果,但是在更广泛的来源R.(2)中,第一次不可能为各种现实来源的差异隐私(包括大多数“块来源”,但不是SV来源) 。 (3)在R下允许(传统或差异或差异)隐私的任何不完整的源都承认某种类型的确定性钻头从R.

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