Sensitive Data Redaction
Sensitive Data Redaction is a data anonymization technique that systematically removes or obscures personally identifiable and confidential information from textual or digital records to comply with privacy regulations and ethical standards while preserving the utility of the remaining data.
15
Publications
435
Citations
52
Authors
31
Institutions
Publications per year
2017–2026
6
Parents
15
The Rules of Redaction: Identify, Protect, Review (and Repeat)
Eric A. Bier, Richard Chow, Philippe Golle et al. · IEEE Security & Privacy · 2009 · 41 citations
Relationships and data sanitization
Matt Bishop, Justin Cummins, Sean Peisert et al. · 2010 · 27 citations
1–5 of 15
52
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 52
31
Fujian Normal University
Fuzhou, China
3 h-index
7 publications
143 citations

Lehigh University
Bethlehem, United States
2 h-index
2 publications
22 citations
Swinburne University of Technology
Melbourne, Australia
1 h-index
1 publications
25 citations
University of California, Davis
Davis, United States
1 h-index
4 publications
108 citations
Rutgers Sexual and Reproductive Health and Rights
Utrecht, Netherlands
1 h-index
1 publications
68 citations

Universitat Rovira i Virgili
Tarragona, Spain
1 h-index
2 publications
158 citations
Research Complex at Harwell
Harwell, United Kingdom
1 h-index
1 publications
17 citations

Data61
Sydney, Australia
1 h-index
2 publications
52 citations
1–8 of 31
JASIST · 1 publications · 79 citations
1
h-index
1 publications · 26 citations
1
h-index
ITETBT · 1 publications · 25 citations
1
h-index
1 publications · 41 citations
1
h-index
Repository · 1 publications · 13 citations
1
h-index
1–5