Data Sanitization
Data Sanitization is a systematic process within data anonymization that removes or obfuscates sensitive information from datasets to prevent unauthorized disclosure, distinguishing itself by ensuring data utility preservation while complying with privacy regulations.
129
Publications
7K
Citations
369
Authors
189
Institutions
Publications per year
2017–2026
59
Parents
129
On the complexity of differentially private data release
Cynthia Dwork, Moni Naor, Omer Reingold et al. · 2009 · 381 citations
Justin Brickell, Vitaly Shmatikov · 2008 · 322 citations
Worst-Case Background Knowledge for Privacy-Preserving Data Publishing
David Martín, Daniel Kifer, Ashwin Machanavajjhala et al. · 2007 · 262 citations
1–5 of 129
369
Western Norway University of Applied Sciences, Norway
10 publications · 406 citations
11
h-index
5
h-index
5
h-index
4
h-index
4
h-index
1–5 of 369
189

Universitat Rovira i Virgili
Tarragona, Spain
8 h-index
16 publications
558 citations

Harbin Institute of Technology
Harbin, China
7 h-index
13 publications
683 citations
Western Norway University of Applied Sciences
Bergen, Norway
5 h-index
4 publications
128 citations

Concordia University
Montreal, Canada
5 h-index
10 publications
1.3K citations
The University of Texas at Dallas
Richardson, United States
5 h-index
9 publications
740 citations

Cornell University
Ithaca, United States
4 h-index
12 publications
1.6K citations

Shenzhen Institute of Information Technology
Shenzhen, China
4 h-index
7 publications
402 citations

National University of Kaohsiung
Kaohsiung City, Taiwan
4 h-index
9 publications
350 citations
1–8 of 189
Repository · 5 publications · 189 citations
5
h-index
4 publications · 158 citations
4
h-index
3 publications · 68 citations
3
h-index
2 publications · 38 citations
2
h-index
FGCS · 2 publications · 117 citations
2
h-index
1–5