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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 differential privacy, a disclosure risk criterion developed in the 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 of differential privacy to become widespread among federal agencies.
Jerome P. Reiter (Thu,) studied this question.