Anonymization For Tabular Data
Anonymization for Tabular Data is a data protection technique that belongs to the class of anonymization methods and specifically involves the systematic transformation of structured, attribute-value formatted datasets to prevent the re-identification of individuals while preserving data utility for analysis.
14
Publications
867
Citations
36
Authors
18
Institutions
Publications per year
2017–2026
3
Parents
14
Anonymizing bipartite graph data using safe groupings
Graham Cormode, Divesh Srivastava, Ting Yu et al. · Proceedings of the VLDB Endowment · 2008 · 218 citations
Anonymizing bipartite graph data using safe groupings
Graham Cormode, Divesh Srivastava, Ting Yu et al. · The VLDB Journal · 2009 · 55 citations
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36
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18
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
2 publications
59 citations
North Carolina State University
Raleigh, United States
2 h-index
4 publications
546 citations
AT&T (United States)
Bedminster, United States
2 h-index
4 publications
546 citations

Universidad de La Laguna
San Cristóbal de La Laguna, Spain
1 h-index
1 publications
26 citations

Centers for Disease Control and Prevention
Atlanta, United States
1 h-index
1 publications
10 citations
Sabancı Üniversitesi
Istanbul, Türkiye
1 h-index
2 publications
28 citations

University of Milan
Milan, Italy
1 h-index
1 publications
20 citations

University of Bergamo
Bergamo, Italy
1 h-index
1 publications
20 citations
1–8 of 18
TVCG · 1 publications · 54 citations
1
h-index
1 publications · 26 citations
1
h-index
1 publications · 14 citations
1
h-index
1 publications · 33 citations
1
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SEKE · 1 publications · 21 citations
1
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1–5