Private Statistical Estimation
Private Statistical Estimation is a statistical inference framework that belongs to the class of differentially private data analysis methods, distinguished by its specific design to estimate population parameters from sensitive data while providing rigorous mathematical guarantees of privacy preservation through the controlled addition of noise or other privacy-preserving perturbations.
58
Publications
2.9K
Citations
146
Authors
89
Institutions
Publications per year
2017–2026
35
Parents
58
Privacy-preserving statistical estimation with optimal convergence rates
Adam Smith · 2011 · 265 citations
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Pennsylvania State University
State College, United States
7 h-index
9 publications
802 citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
8 publications
240 citations
Google (United States)
Mountain View, United States
5 h-index
11 publications
995 citations

Harvard University Press
Cambridge, United States
4 h-index
4 publications
98 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
3 publications
143 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
3 publications
76 citations

University of Waterloo
Waterloo, Canada
3 h-index
3 publications
62 citations
Northeastern University
Boston, United States
3 h-index
4 publications
78 citations
1–8 of 89
Repository · 10 publications · 271 citations
10
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JPC · 4 publications · 325 citations
4
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4 publications · 220 citations
4
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Conference · 3 publications · 126 citations
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Conference · 2 publications · 67 citations
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1–5