Private Classification
Private Classification is a data classification level within information security policy that designates information requiring restricted access due to its sensitivity, distinguishing it from public or organizational data by imposing specific confidentiality controls to protect personal, proprietary, or legally protected content.
53
Publications
2.7K
Citations
166
Authors
84
Institutions
Publications per year
2017–2026
32
Parents
53
Privacy-Preserving Classification on Deep Neural Network.
Hervé Chabanne, Amaury de Wargny, Jonathan Milgram et al. · IACR Cryptology ePrint Archive · 2017 · 218 citations
Martine De Cock, Rafael Dowsley, Caleb Horst et al. · IEEE Transactions on Dependable and Secure Computing · 2017 · 154 citations
Cryptographically private support vector machines
Sven Laur, Helger Lipmaa, Taneli Mielikäinen · 2006 · 146 citations
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84
Georgia Institute of Technology
Atlanta, United States
4 h-index
7 publications
772 citations

University of Waterloo
Waterloo, Canada
2 h-index
4 publications
175 citations
Nanjing University of Posts and Telecommunications
Nanjing, China
2 h-index
2 publications
64 citations

Monash University
Melbourne, Australia
2 h-index
2 publications
158 citations

Shenzhen University
Shenzhen, China
2 h-index
5 publications
518 citations

Aarhus University
Aarhus, Denmark
2 h-index
2 publications
187 citations

Technische Universität Darmstadt
Darmstadt, Germany
2 h-index
3 publications
206 citations
Tokyo Metropolitan University
Tokyo, Japan
2 h-index
6 publications
150 citations
1–8 of 84
3 publications · 79 citations
3
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PoPETs · 2 publications · 135 citations
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Repository · 2 publications · 231 citations
2
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2 publications · 62 citations
2
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Repository · 2 publications · 33 citations
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