Anonymization Vulnerability Analysis
Anonymization Vulnerability Analysis is a systematic method for identifying, assessing, and characterizing potential re-identification risks and weaknesses in anonymized datasets resulting from specific attack vectors, data properties, or procedural inadequacies.
7
Publications
366
Citations
28
Authors
11
Institutions
Publications per year
2017–2026
1
Parents
7
Mapping internet sensors with probe response attacks
John Bethencourt, Jason Franklin, Mary K. Vernon · 2005 · 132 citations
Analyzing Privacy in Enterprise Packet Trace Anonymization.
Bruno Ribeiro, Weifeng Chen, Gerome Miklau et al. · 2008 · 41 citations
Exploring re-identification risks in public domains
Aditi Ramachandran, Lisa Singh, Edward Porter et al. · 2012 · 28 citations
1–5 of 7
28
2
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 28
11
Georgia Institute of Technology
Atlanta, United States
2 h-index
6 publications
393 citations
Princeton University
Princeton, United States
2 h-index
2 publications
131 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
1 h-index
1 publications
100 citations
Indiana University Bloomington
Bloomington, United States
1 h-index
1 publications
23 citations

Beihang University
Beijing, China
1 h-index
5 publications
55 citations
Microsoft (United States)
Redmond, United States
1 h-index
3 publications
69 citations
Georgetown University
Washington, United States
1 h-index
2 publications
56 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
1 publications
23 citations
1–8 of 11
1 publications · 31 citations
1
h-index
1 publications · 11 citations
1
h-index
1 publications · 10 citations
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