Private Graph Analysis
Private Graph Analysis is a methodological framework within differential privacy that enables the extraction of statistical insights from graph-structured data while formally guaranteeing individual privacy through rigorous noise calibration mechanisms.
19
Publications
1.3K
Citations
58
Authors
26
Institutions
Publications per year
2017–2026
9
Parents
19
Accurate Estimation of the Degree Distribution of Private Networks
Michael Hay, Chao Li, Gerome Miklau et al. · 2009 · 394 citations
Private analysis of graph structure
Vishesh Karwa, Sofya Raskhodnikova, Adam Smith et al. · Proceedings of the VLDB Endowment · 2011 · 194 citations
Private Analysis of Graph Structure
Vishesh Karwa, Sofya Raskhodnikova, Adam Smith et al. · ACM Transactions on Database Systems · 2014 · 83 citations
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Massachusetts Institute of Technology
Cambridge, United States
2 h-index
2 publications
61 citations

Pennsylvania State University
State College, United States
2 h-index
8 publications
1.1K citations
National University of Singapore
Singapore, Singapore
2 h-index
2 publications
154 citations
Miami University
Oxford, United States
1 h-index
1 publications
55 citations

University of Massachusetts Amherst
Amherst Center, United States
1 h-index
4 publications
1.6K citations

UC San Diego Health System
San Diego, United States
1 h-index
2 publications
64 citations

Renmin University of China
Beijing, China
1 h-index
2 publications
90 citations

Southeast University
Nanjing, China
1 h-index
3 publications
72 citations
1–8 of 26
PVLDB · 1 publications · 194 citations
1
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1 publications · 51 citations
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1 publications · 16 citations
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Repository · 1 publications · 13 citations
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TKDE · 1 publications · 45 citations
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