Evidence map›Paper›PMID 37094115›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

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

David Sánchez, Josep Domingo-Ferrer, Krishnamurty Muralidhar

Abstract readLetter
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. When Privacy Protection Goes Wrong: How and Why the 2020 Census Confidentiality Program Failed.The journal of economic perspectives : a journal of the American Economic Association · 2024
    Article
  2. Article
  3. Reply to Sanchéz et al.: Multiplicity does not protect privacy.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

David SánchezUniversitat Rovira i Virgili, Department of Computer Engineering and Mathematics, UNESCO Chair in Data Privacy, Center for Cybersecurity Research of Catalonia, Tarragona, Catalonia 43007, Spain.ORCID 0000-0001-7275-7887
Josep Domingo-FerrerUniversitat Rovira i Virgili, Department of Computer Engineering and Mathematics, UNESCO Chair in Data Privacy, Center for Cybersecurity Research of Catalonia, Tarragona, Catalonia 43007, Spain.
Krishnamurty MuralidharDepartment of Marketing and Supply Chain Management, University of Oklahoma, Norman, OK 73019.

Funding

European Commission (EC) 871042Generalitat de Catalunya (Government of Catalonia) 2021SGR-00115Generalitat de Catalunya (Government of Catalonia) ICREA AcadèmiaMinisterio de Ciencia e Innovación (MCIN) PID2021-123637NB-I00
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID37094115
PMCPMC10161129

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.