Sensitive Attribute Protection
Sensitive Attribute Protection is a data privacy mechanism that specifically safeguards personally identifiable or confidential characteristics within datasets by preventing unauthorized inference, access, or disclosure of attributes deemed sensitive due to their potential for causing harm if exposed.
67
Publications
4.6K
Citations
217
Authors
116
Institutions
Publications per year
2017–2026
35
Parents
67
Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, Nathan Srebro · arXiv (Cornell University) · 2016 · 1.9K citations · Full text
Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, Nathan Srebro · arXiv (Cornell University) · 2016 · 371 citations · Full text
Fairness through Causal Awareness
David Madras, Elliot Creager, Toniann Pitassi et al. · 2019 · 105 citations
1–5 of 67
217
3
h-index
Toyota Technological Institute at Chicago, United States
3 publications · 2.3K citations
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 217
116

Xidian University
Xi'an, China
4 h-index
11 publications
820 citations
COMSATS University Islamabad
Islamabad, Pakistan
3 h-index
12 publications
377 citations
Toyota Technological Institute at Chicago
Chicago, United States
3 h-index
3 publications
2.3K citations
National University of Singapore
Singapore, Singapore
2 h-index
7 publications
305 citations
Dalian University of Technology
Dalian, China
2 h-index
4 publications
179 citations
Cybernetica (Estonia)
Tallinn, Estonia
2 h-index
2 publications
49 citations

Zhejiang University
Hangzhou, China
2 h-index
9 publications
234 citations
State Key Laboratory of Cryptology
Beijing, China
2 h-index
3 publications
409 citations
1–8 of 116
Repository · 4 publications · 2.3K citations
4
h-index
3 publications · 305 citations
3
h-index
2 publications · 116 citations
2
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2 publications · 50 citations
2
h-index
1 publications · 23 citations
1
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1–5