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arXiv:1809.02201cs.CR

Issues Encountered Deploying Differential Privacy

Simson L. Garfinkel, John M. Abowd, Sarah Powazek

Abstract

When differential privacy was created more than a decade ago, the motivating example was statistics published by an official statistics agency. In attempting to transition differential privacy from the academy to practice, the U.S. Census Bureau has encountered many challenges unanticipated by differential privacy's creators. These challenges include obtaining qualified personnel and a suitable computing environment, the difficulty accounting for all uses of the confidential data, the lack of release mechanisms that align with the needs of data users, the expectation on the part of data users that they will have access to micro-data, and the difficulty in setting the value of the privacy-loss parameter, $ε$ (epsilon), and the lack of tools and trained individuals to verify the correctness of differential privacy implementations.

arXiv comments
Journal reference
DOI
doi:10.1145/3267323.3268949
Subjects
cs.CRCryptography and Security

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Linked by 2 identifiable commenters in 2 comments across 2 threads, from Nov 2019 to Feb 2020. Found in 2 HN submissions from Sep 2018 to Oct 2018. Open submission discussions.

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Discussed in comments2 threads

    • It's not far-fetched. Differential privacy is going to be used for the US census this year. Here's a report on it: https://arxiv.org/abs/1809.02201 Also, it's not a magical solution. Here's one of the issues from the linked paper (edited for clarity): "The proponents of…

      erglView on HNParent context

    • The US Census famously used differential privacy in their most recent surveys. They have a quite extensive analysis of the tradeoffs they had to make to ensure everyone's privacy, and there is a fairly large body of academic work that analyzes (e.g.) the economic impact of this…

      jackpirateView on HNParent context

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