Escalation of Commitment: A Case Study of the United States Census Bureau Efforts to Implement Differential Privacy for the 2020 Decennial Census

Krishnamurty Muralidhar, Steven Ruggles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In 2017, the United States Census Bureau announced that because of high disclosure risk in the methodology (data swapping) used to produce tabular data for the 2010 census, a different protection mechanism based on differential privacy would be used for the 2020 census. While there have been many studies evaluating the result of this change, there has been no rigorous examination of disclosure risk claims resulting from the released 2010 tabular data. In this study we perform such an evaluation. We show that the procedures used to evaluate disclosure risk are unreliable and resulted in inflated disclosure risk. Demonstration data products released using the new procedure were also shown to have poor utility. However, since the Census Bureau had already committed to a different procedure, they had no option except to escalate their commitment. The result of such escalation is that the 2020 tabular data release offers neither privacy nor accuracy.

Original languageEnglish (US)
Title of host publicationPrivacy in Statistical Databases - International Conference, PSD 2024, Proceedings
EditorsJosep Domingo-Ferrer, Melek Önen
PublisherSpringer Science and Business Media Deutschland GmbH
Pages393-402
Number of pages10
ISBN (Print)9783031696503
DOIs
StatePublished - 2024
EventInternational Conference on Privacy in Statistical Databases, PSD 2024 - Antibes Juan-les-Pins, France
Duration: Sep 25 2024Sep 27 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14915 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Privacy in Statistical Databases, PSD 2024
Country/TerritoryFrance
CityAntibes Juan-les-Pins
Period9/25/249/27/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Census
  • disclosure
  • privacy

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