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Private Analysis of Graph Structure
Summary: Edge-DP graph statistics; release approximate counts of edge-induced isomorphic subgraphs (triangles, k-stars) in relational networks. Extends NRS's triangle method to k-stars; uses higher-order local sensitivity for k-triangles, achieving stronger privacy with less noise than RHMS; theory, experiments, ER analysis, and hardness results.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 10177
- Venue
- VLDB
- Year
- 2011
- Pagerank
- 0.00018755196
- Overall Rank
- 642 | 95.54%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 26 of 26 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 453 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022741848 |
| 1,177 |
Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins |
2013 |
SIGMOD |
0.00013470212 |
| 1,602 |
Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets |
2014 |
VLDB |
0.00011199166 |
| 1,681 |
GUPT: Privacy Preserving Data Analysis Made Easy |
2012 |
SIGMOD |
0.00010929746 |
| 1,738 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010720057 |
| 2,226 |
Publishing Graph Degree Distribution with Node Differential Privacy |
2016 |
SIGMOD |
9.2421776e-05 |
| 3,325 |
Shortest Paths and Distances with Differential Privacy |
2016 |
PODS |
7.2211576e-05 |
| 4,754 |
Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism |
2021 |
VLDB |
5.9468785e-05 |
| 5,246 |
Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics |
2017 |
SIGMOD |
5.6063332e-05 |
| 5,491 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
5.4776364e-05 |
| 5,885 |
Continual Observation of Joins under Differential Privacy |
2024 |
SIGMOD |
5.2880878e-05 |
| 6,235 |
Global and Local Differentially Private Release of Count-Weighted Graphs |
2023 |
SIGMOD |
5.1451658e-05 |
| 6,410 |
Publishing Attributed Social Graphs with Formal Privacy Guarantees |
2016 |
SIGMOD |
5.0753667e-05 |
| 7,064 |
Residual Sensitivity for Differentially Private Multi-Way Joins |
2021 |
SIGMOD |
4.8450749e-05 |
| 7,439 |
Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy |
2023 |
SIGMOD |
4.7304034e-05 |
| 7,579 |
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries |
2022 |
PODS |
4.706055e-05 |
| 7,943 |
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity |
2021 |
VLDB |
4.613363e-05 |
| 8,234 |
Robust Privacy-Preserving Triangle Counting under Edge Local Differential Privacy |
2025 |
SIGMOD |
4.5535352e-05 |
| 8,873 |
Privacy Amplification by Sampling under User-level Differential Privacy |
2024 |
SIGMOD |
4.4313867e-05 |
| 9,405 |
Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy |
2024 |
SIGMOD |
4.3441378e-05 |
| 10,094 |
N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,157 |
Efficient and Effective Biclique Counting with Local Differential Privacy |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,513 |
Computing Inconsistency Measures Under Differential Privacy |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,672 |
Sectric: Towards Accurate, Privacy-preserving and Efficient Triangle Counting |
2025 |
VLDB |
4.1945683e-05 |
| 10,689 |
GORAM: Graph-oriented ORAM for Efficient Ego-centric Queries on Federated Graphs |
2025 |
VLDB |
4.1945683e-05 |
| 11,074 |
Confidence Intervals for Private Query Processing |
2024 |
VLDB |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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