Global and Local Differentially Private Release of Count-Weighted Graphs
Summary: Global and local DP for count-weighted graphs, protecting topology and edge weights. Two novel DP approaches with post-processing for domain constraints; real-graph experiments show superior utility vs prior methods, enabling diverse statistics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Felipe T. Brito (Federal University of Ceará)
- 2. Victor A. E. Farias (Federal University of Ceará)
- 3. Cheryl Flynn (AT&T)
- 4. Subhabrata Majumdar (Artificial Intelligence Risk and Vulnerability Alliance)
- 5. Javam C. Machado (Federal University of Ceará)
- 6. Divesh Srivastava (AT&T)
BibTeX Citation
@inproceedings{brito_sigmod23,
title = {{Global and Local Differentially Private Release of Count-Weighted Graphs}},
author = {Brito, Felipe T. and Farias, Victor A. E. and Flynn, Cheryl and Majumdar, Subhabrata and Machado, Javam C. and Srivastava, Divesh},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3589299},
url = {https://dl.acm.org/doi/10.1145/3589299},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,552 | Practical and Accurate Local Edge Differentially Private Graph Algorithms | 2025 | VLDB | 5.2528121e-05 |
| 10,970 | Continuous Publication of Weighted Graphs with Local Differential Privacy | 2025 | VLDB | 5.093636e-05 |
| 10,992 | PrivAGM: Secure Construction of Differentially Private Directed Attributed Graph Models on Decentralized Social Graphs | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 62 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00038970535 |
| 596 | Private Analysis of Graph Structure | 2011 | VLDB | 0.00015926024 |
| 1,790 | Publishing Graph Degree Distribution with Node Differential Privacy | 2016 | SIGMOD | 9.7502278e-05 |
| 1,960 | Private Release of Graph Statistics using Ladder Functions | 2015 | SIGMOD | 9.4058693e-05 |
| 3,948 | Shortest Paths and Distances with Differential Privacy | 2016 | PODS | 6.9993183e-05 |
| 4,881 | Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics | 2017 | SIGMOD | 6.465615e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,826 | Fully Dynamic Algorithms for Graph Databases with Edge Differential Privacy | 2025 | PODS |
| 2 | 836 | Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins | 2013 | SIGMOD |
| 3 | 1,790 | Publishing Graph Degree Distribution with Node Differential Privacy | 2016 | SIGMOD |
| 4 | 3,948 | Shortest Paths and Distances with Differential Privacy | 2016 | PODS |
| 5 | 2,856 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB |
| 6 | 9,552 | Practical and Accurate Local Edge Differentially Private Graph Algorithms | 2025 | VLDB |
| 7 | 6,367 | Robust Privacy-Preserving Triangle Counting under Edge Local Differential Privacy | 2025 | SIGMOD |
| 8 | 1,960 | Private Release of Graph Statistics using Ladder Functions | 2015 | SIGMOD |
| 9 | 6,288 | Publishing Attributed Social Graphs with Formal Privacy Guarantees | 2016 | SIGMOD |
| 10 | 10,970 | Continuous Publication of Weighted Graphs with Local Differential Privacy | 2025 | VLDB |