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Differential Privacy and Federal Data Releases

机译:差异隐私和联邦数据发布

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摘要

Federal statistics agencies strive to release data products that are informative for many purposes; yet also protect the privacy and confidentiality of data subjects' identities and sensitive attributes. This article reviews the role that differentialprivacy, a disclosure riskcriteriondeveloped inthe cryptography community, can and does play in federal data releases. The article describes potential benefits and limitations of using differential privacy for federal data, reviews current federal data products that satisfy differential privacy, and outlines research needed for adoption ofdifferential privacy to become widespread among federal agencies.
机译:联邦统计机构努力释放有多种目的信息的数据产品; 然而,还保护数据主题身份和敏感属性的隐私和机密性。 本文审查了差异普通的角色,披露风险标准揭示的Inthe加密社区,可以在联邦数据发布中发挥作用。 本文介绍了利用联邦数据的差异隐私的潜在好处和限制,审查了满足差别隐私的当前联邦数据产品,并概述采用多样性隐私所需的研究成为联邦机构的普遍存在。

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