Microdata Anonymization
Microdata Anonymization is a data protection technique that belongs to the class of privacy-preserving methods by specifically transforming individual-level data records to prevent the identification of natural persons while preserving the analytical utility of the dataset.
347
Publications
41.9K
Citations
801
Authors
353
Institutions
Publications per year
2017–2026
97
347
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
Ninghui Li, Tiancheng Li, Suresh Venkatasubramanian · 2007 · 3.4K citations
Data Privacy through Optimal k-Anonymization
Roberto J. Bayardo, R. Agrawal · 2005 · 1.1K citations
1–5 of 347
801
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353

Universitat Rovira i Virgili
Tarragona, Spain
16 h-index
53 publications
1.9K citations

University of Southern Queensland
Toowoomba, Australia
11 h-index
23 publications
726 citations
Simon Fraser University
Burnaby, Canada
11 h-index
20 publications
5.9K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
10 h-index
17 publications
3.9K citations
Duke University
Durham, United States
8 h-index
11 publications
1.1K citations
Purdue University West Lafayette
West Lafayette, United States
7 h-index
15 publications
9.1K citations

University of South Australia
Adelaide, Australia
7 h-index
7 publications
202 citations
IBM (United States)
Armonk, United States
6 h-index
6 publications
186 citations
1–8 of 353
TKDE · 14 publications · 3.8K citations
14
h-index
8 publications · 385 citations
8
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Repository · 6 publications · 351 citations
6
h-index
5 publications · 216 citations
5
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IJUFKS · 5 publications · 8.6K citations
5
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1–5