Anonymization
Anonymization is a data processing technique that irreversibly removes personally identifiable information from a dataset such that the resulting data cannot be used to re-identify individuals, thereby distinguishing it from other privacy-preserving methods that permit potential re-identification under certain conditions.
1K
Publications
67.1K
Citations
2.5K
Authors
946
Institutions
Publications per year
2017–2026
434
1K
Pierangela Samarati, Latanya Sweeney · Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) · 2018 · 1.3K citations · Full text
De-anonymizing Social Networks
Arvind Narayanan, Vitaly Shmatikov · 2009 · 1.3K citations · Full text
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2.5K
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946
Purdue University West Lafayette
West Lafayette, United States
23 h-index
52 publications
4.1K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
19 h-index
34 publications
4.6K citations
Georgia Institute of Technology
Atlanta, United States
19 h-index
52 publications
6.5K citations
Simon Fraser University
Burnaby, Canada
18 h-index
38 publications
7K citations

Universitat Rovira i Virgili
Tarragona, Spain
17 h-index
52 publications
1.9K citations
IBM (United States)
Armonk, United States
16 h-index
20 publications
3.2K citations
Technical University of Munich
Munich, Germany
13 h-index
43 publications
1.9K citations
Princeton University
Princeton, United States
13 h-index
13 publications
1.1K citations
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TKDE · 28 publications · 4K citations
22
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Repository · 29 publications · 920 citations
18
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22 publications · 930 citations
16
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PVLDB · 11 publications · 1.6K citations
11
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TDSC · 11 publications · 537 citations
11
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