De-anonymization
De-Anonymization is a privacy threat modeling method that distinguishes itself by re-identifying individuals from anonymized data through the linkage of residual identifiers or auxiliary information.
377
Publications
22.8K
Citations
1.1K
Authors
451
Institutions
Publications per year
2017–2026
164
Variants
Re-identification
Parents
377
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
Website fingerprinting in onion routing based anonymization networks
Andriy Panchenko, L. Niessen, Andreas Zinnen et al. · 2011 · 499 citations
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451
Princeton University
Princeton, United States
12 h-index
13 publications
1.1K citations

Universitat Rovira i Virgili
Tarragona, Spain
11 h-index
32 publications
1.1K citations
Georgia Institute of Technology
Atlanta, United States
11 h-index
31 publications
1.7K citations
Purdue University West Lafayette
West Lafayette, United States
8 h-index
17 publications
714 citations
Open University of Israel
Raanana, Israel
7 h-index
9 publications
575 citations
University of Science and Technology of China
Hefei, China
7 h-index
7 publications
380 citations

Shanghai Jiao Tong University
Shanghai, China
7 h-index
21 publications
572 citations
University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
15 publications
513 citations
1–8 of 451
TKDE · 14 publications · 677 citations
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Repository · 13 publications · 421 citations
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10 publications · 246 citations
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TDSC · 8 publications · 423 citations
8
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5 publications · 88 citations
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