The counterfactual framework in Jarmin et al. is not a measure of disclosure risk of respondents-Reference-Cited by-同舟云学术

The counterfactual framework in Jarmin et al. is not a measure of disclosure risk of respondents

Published:2024-03-05 Issue:11 Volume:121 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:

Muralidhar Krishnamurty¹^ORCID,Ruggles Steven²^ORCID,Domingo-Ferrer Josep³^ORCID,Sánchez David³^ORCID

Affiliation:

1. Department of Marketing and Supply Chain Management, University of Oklahoma, Price College of Business, Norman, OK 73019

2. University of Minnesota, Institute for Social Research and Data Innovation, Minneapolis, MN 55455

3. Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, United Nations Educational, Scientific and Cultural Organization Chair in Data Privacy, CYBERCAT-Center for Cybersecurity Research of Catalonia, Tarragona, Catalonia E-43007, Spain

Funder

European Commission

Ministerio de Ciencia e Innovación

Instituto Nacional de Ciberseguridad

Institució Catalana de Recerca i Estudis Avançats

Government of Catalonia | Ministry of Business and Knowledge, Government of Catalonia | Direcció General de Recerca, Generalitat de Catalunya

Publisher

Proceedings of the National Academy of Sciences

Link

https://pnas.org/doi/pdf/10.1073/pnas.2319484121

Reference7 articles.

1. An in-depth examination of requirements for disclosure risk assessment

2. D. Kifer Bayesian and frequentist semantics for common variations of differential privacy: Applications to the 2020 census. arXiv [Preprint] (2022). https://doi.org/10.48550/arXiv.2209.03310 (Accessed 30 December 2023).

3. Confidentiality Protection in the 2020 US Census of Population and Housing

4. The Role of Chance in the Census Bureau Database Reconstruction Experiment

5. K. Muralidhar “A Re-Examination of the Census Bureau Reconstruction and Reidentification Attack” in Proceedings of Privacy in Statistical Databases–PSD 2022 J. Domingo-Ferrer M. Laurent Eds. (Springer 2022) pp. 312–323.

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