Comparison of anonymization techniques regarding statistical reproducibility

None of the anonymization methods reproduced all outputs and results. A trade-off has to be find between context risk and the usefulness of data to answer the research question.

Authors

Institutions

Publication Details

Journal
PLOS Digital Health
Published
2025-02-03
DOI
https://doi.org/10.1371/journal.pdig.0000735
Citations
5
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
12.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of anonymization techniques regarding statistical reproducibility

Charles Monteil, Laetitia Vinet, Camille Bachot, Romain Jegou et al.
5 citations
PLOS Digital Health
Privacy-Preserving Technologies in Data
12.40
article

Comparison of anonymization techniques regarding statistical reproducibility

Charles Monteil, Laetitia Vinet, Camille Bachot, Romain Jegou, Nadir Sella, Mathieu Boucher, D. Pau
article en
5 citations

Abstract

None of the anonymization methods reproduced all outputs and results. A trade-off has to be find between context risk and the usefulness of data to answer the research question.

PLOS Digital HealthVol. 4(2)
Roche (France) (FR)
F. Hoffmann-La Roche
Decent work and economic growth
Openalex Percentile: Top 2%
Privacy-Preserving Technologies in Data
12.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.