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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
- 10178
- Venue
- VLDB
- Year
- 2011
- Pagerank
- 0.00018757732
- 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 |
| 451 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022807098 |
| 1,177 |
Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins |
2013 |
SIGMOD |
0.00013465351 |
| 1,607 |
Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets |
2014 |
VLDB |
0.00011171719 |
| 1,681 |
GUPT: Privacy Preserving Data Analysis Made Easy |
2012 |
SIGMOD |
0.00010922454 |
| 1,740 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010696383 |
| 2,224 |
Publishing Graph Degree Distribution with Node Differential Privacy |
2016 |
SIGMOD |
9.256869e-05 |
| 3,309 |
Shortest Paths and Distances with Differential Privacy |
2016 |
PODS |
7.2374523e-05 |
| 4,742 |
Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism |
2021 |
VLDB |
5.9502732e-05 |
| 5,249 |
Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics |
2017 |
SIGMOD |
5.600946e-05 |
| 5,499 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
5.4737427e-05 |
| 6,231 |
Global and Local Differentially Private Release of Count-Weighted Graphs |
2023 |
SIGMOD |
5.1402278e-05 |
| 6,406 |
Publishing Attributed Social Graphs with Formal Privacy Guarantees |
2016 |
SIGMOD |
5.0704962e-05 |
| 7,059 |
Residual Sensitivity for Differentially Private Multi-Way Joins |
2021 |
SIGMOD |
4.8404261e-05 |
| 7,437 |
Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy |
2023 |
SIGMOD |
4.7258659e-05 |
| 7,441 |
Continual Observation of Joins under Differential Privacy |
2024 |
SIGMOD |
4.7251588e-05 |
| 7,584 |
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries |
2022 |
PODS |
4.7015411e-05 |
| 7,946 |
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity |
2021 |
VLDB |
4.6089395e-05 |
| 8,141 |
Robust Privacy-Preserving Triangle Counting under Edge Local Differential Privacy |
2025 |
SIGMOD |
4.5724134e-05 |
| 8,873 |
Privacy Amplification by Sampling under User-level Differential Privacy |
2024 |
SIGMOD |
4.4271393e-05 |
| 9,411 |
Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy |
2024 |
SIGMOD |
4.3399748e-05 |
| 10,094 |
N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,157 |
Efficient and Effective Biclique Counting with Local Differential Privacy |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,522 |
Computing Inconsistency Measures Under Differential Privacy |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,680 |
Sectric: Towards Accurate, Privacy-preserving and Efficient Triangle Counting |
2025 |
VLDB |
4.1905499e-05 |
| 10,697 |
GORAM: Graph-oriented ORAM for Efficient Ego-centric Queries on Federated Graphs |
2025 |
VLDB |
4.1905499e-05 |
| 11,077 |
Confidence Intervals for Private Query Processing |
2024 |
VLDB |
4.1905499e-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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