Sensitive Attribute Detection is a methodological framework within sensitive data handling that identifies and extracts personally identifiable or protected characteristics from data instances, distinguished by its focus on recognizing attributes subject to privacy regulations or ethical constraints.
30
Publications
1.1K
Citations
92
Authors
39
Institutions
Publications per year
2017–2026
17
Parents
Publications
30
Bias in machine learning software: why? how? what to do?
2021 · 170 citations · Full text
Computing, Data Science, Data Mining +14
Handling Conditional Discrimination
Indre liobaite, Faisal Kamiran, Toon Calders · 2011 · 131 citations
1–5 of 30
Authors
92
- JM
3
h-index
- AH
2
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- CS
2
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- FK
2
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- VS
2
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1–5 of 92
Institutions
39
Cornell University
Ithaca, United States
3 h-index
5 publications
219 citations
Heinrich Heine University Düsseldorf
Düsseldorf, Germany
2 h-index
5 publications
290 citations
Oregon State University
Corvallis, United States
1 h-index
1 publications
13 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
3 publications
33 citations
The University of Texas at Austin
Austin, United States
1 h-index
2 publications
128 citations
Imperial College London
London, United Kingdom
1 h-index
3 publications
87 citations
Maastricht University
Maastricht, The Netherlands
1 h-index
1 publications
56 citations
Kakatiya University
Warangal, India
1 h-index
1 publications
12 citations
1–8 of 39
Venues
- PLoS ONE
1 publications · 72 citations
1
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- Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
Conference · 1 publications · 43 citations
1
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- Computers & Security
1 publications · 37 citations
1
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- Neural Computing and Applications
1 publications · 11 citations
1
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- TU/e Research Portal (Eindhoven University of Technology)
Repository · 1 publications · 19 citations
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