Anonymization Algorithms
Anonymization Algorithms is a computational method that belongs to the class of data privacy techniques by transforming personal or sensitive data in such a way that individuals cannot be readily identified, thereby enabling data utility while safeguarding privacy.
693
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48.2K
Citations
1.7K
Authors
654
Institutions
Publications per year
2017–2026
235
Variants
Anonymization Algorithm
Parents
693
Ashwin Machanavajjhala, Daniel Kifer, Johannes Gehrke et al. · ACM Transactions on Knowledge Discovery from Data · 2007 · 3.6K citations
De-anonymizing Social Networks
Arvind Narayanan, Vitaly Shmatikov · 2009 · 1.3K citations · Full text
Data Privacy through Optimal k-Anonymization
Roberto J. Bayardo, R. Agrawal · 2005 · 1.1K citations
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654
Purdue University West Lafayette
West Lafayette, United States
19 h-index
36 publications
3.6K citations
Simon Fraser University
Burnaby, Canada
16 h-index
30 publications
7K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
15 h-index
25 publications
4.2K citations

Universitat Rovira i Virgili
Tarragona, Spain
14 h-index
28 publications
1.1K citations
Georgia Institute of Technology
Atlanta, United States
13 h-index
33 publications
3K citations
National University of Singapore
Singapore, Singapore
12 h-index
27 publications
1.9K citations
IBM (United States)
Armonk, United States
12 h-index
15 publications
2K citations
Technical University of Munich
Munich, Germany
12 h-index
33 publications
1.7K citations
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TKDE · 27 publications · 1.9K citations
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Repository · 19 publications · 604 citations
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16 publications · 1K citations
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11 publications · 557 citations
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9 publications · 153 citations
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