Confidence-ranked reconstruction of census records from aggregate statistics fails to capture privacy risks and reidentifiability-Reference-Cited by-同舟云学术

Confidence-ranked reconstruction of census records from aggregate statistics fails to capture privacy risks and reidentifiability

Published:2023-04-24 Issue:18 Volume:120 Page:
ISSN:0027-8424
Container-title:Proceedings of the National Academy of Sciences
language:en
Short-container-title:Proc. Natl. Acad. Sci. U.S.A.

Author:

Sánchez David¹^ORCID,Domingo-Ferrer Josep¹,Muralidhar Krishnamurty²

Affiliation:

1. Universitat Rovira i Virgili, Department of Computer Engineering and Mathematics, UNESCO Chair in Data Privacy, Center for Cybersecurity Research of Catalonia, Tarragona, Catalonia 43007, Spain

2. Department of Marketing and Supply Chain Management, University of Oklahoma, Norman, OK 73019

Funder

European Commission

Ministerio de Ciencia e Innovación

Generalitat de Catalunya

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Link

https://pnas.org/doi/pdf/10.1073/pnas.2303890120

Reference5 articles.

1. Confidence-ranked reconstruction of census microdata from published statistics

2. Protecting respondents identities in microdata release

3. Toward Privacy in Public Databases

4. J. Gehrke, M. Hay, E. Lui, R. Pass, “Crowd-Blending Privacy” in Advances in Cryptology – CRYPTO 2012. Lecture Notes in Computer Science, R. Safavi-Naini, R. Canetti, Eds. (Springer, Berlin, Heidelberg, 2012). vol. 7417.

5. Balancing data privacy and usability in the federal statistical system

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3. “It's None of Their Damn Business”: Privacy and Disclosure Control in the U.S. Census, 1790–2020;Population and Development Review;2023-07-24