The Exponential Mechanism is a differential privacy-preserving mechanism that belongs to the class of randomized algorithms for releasing data queries, distinguished by selecting outputs with probabilities exponentially proportional to their utility scores, thereby ensuring privacy through controlled randomness in the selection process.
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130
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Publications per year
2017–2026
40
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Publications
88
Oxygen uptake kinetics in treadmill running and cycle ergometry: a comparison
Helen Carter, Andrew M. Jones, Thomas J. Barstow et al. · Journal of Applied Physiology · 2000 · 247 citations
Education, Kinesiology, Physiology +17
Conservative or liberal? Personalized differential privacy
Zach Jorgensen, Ting Yu, Graham Cormode · 2015 · 220 citations
1–5 of 88
Authors
253
- SA
4
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3
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3
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3
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3
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1–5 of 253
Institutions
130
Xidian University
Xi'an, China
5 h-index
12 publications
717 citations
University of Science and Technology of China
Hefei, China
4 h-index
15 publications
953 citations
Wuhan University
Wuhan, China
3 h-index
7 publications
422 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
5 publications
102 citations
University of Sheffield
Sheffield, United Kingdom
3 h-index
9 publications
165 citations
Cornell University
Ithaca, United States
3 h-index
3 publications
459 citations
IMDEA Software Institute
Pozuelo de Alarcón, Spain
3 h-index
11 publications
1.1K citations
University College London
London, United Kingdom
2 h-index
2 publications
60 citations
1–8 of 130
Venues
- arXiv (Cornell University)
Repository · 10 publications · 451 citations
10
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- Biochemical Journal
BJ · 3 publications · 60 citations
3
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- IEEE Access
2 publications · 49 citations
2
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- IEEE Transactions on Knowledge and Data Engineering
TKDE · 2 publications · 156 citations
2
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- Security and Communication Networks
2 publications · 36 citations
2
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