Anonymization Risk Analysis
Anonymization Risk Analysis is a methodological framework within privacy threat modeling that systematically evaluates the potential for re-identification and privacy breaches in anonymized datasets by assessing the effectiveness of anonymization techniques against known inference attacks and auxiliary information sources.
46
Publications
2.7K
Citations
132
Authors
71
Institutions
Publications per year
2017–2026
14
Parents
46
Revisiting the uniqueness of simple demographics in the US population
Philippe Golle · 2006 · 257 citations
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71

University of Manchester
Manchester, United Kingdom
3 h-index
6 publications
149 citations

Universitat Rovira i Virgili
Tarragona, Spain
3 h-index
7 publications
278 citations
ETH Zurich
Zurich, Switzerland
3 h-index
5 publications
210 citations
Microsoft (United States)
Redmond, United States
2 h-index
4 publications
418 citations

University of Oslo
Oslo, Norway
2 h-index
2 publications
82 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
3 publications
645 citations
Max Planck Institute for Innovation and Competition
Munich, Germany
2 h-index
2 publications
226 citations
University of Southern California
Los Angeles, United States
2 h-index
3 publications
50 citations
1–8 of 71
IJUFKS · 2 publications · 67 citations
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Conference · 2 publications · 22 citations
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Conference · 1 publications · 135 citations
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Repository · 1 publications · 93 citations
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TMCCI · 1 publications · 25 citations
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