PrivAGM: Secure Construction of Differentially Private Directed Attributed Graph Models on Decentralized Social Graphs
Summary: PrivAGM combines differential privacy and secure multiparty computation to fit directed, attributed graph models when users hold only local views of a decentralized social graph. It preserves edge directionality and attribute–edge correlations, yielding higher-utility synthetic graphs than prior methods. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Songlei Wang (Shenzhen University)
- 2. Yifeng Zheng (Hong Kong Polytechnic University)
- 3. Xiaohua Jia (City University of Hong Kong)
- 4. Haibo Hu (Hong Kong Polytechnic University)
BibTeX Citation
@article{wang_vldb25,
title = {{PrivAGM: Secure Construction of Differentially Private Directed Attributed Graph Models on Decentralized Social Graphs}},
author = {Wang, Songlei and Zheng, Yifeng and Jia, Xiaohua and Hu, Haibo},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4682--4694},
doi = {10.14778/3749646.3749722},
url = {https://doi.org/10.14778/3749646.3749722},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 123 | Revealing Information while Preserving Privacy | 2003 | PODS | 0.00031082693 |
| 1,328 | Truss-based Community Search over Large Directed Graphs | 2020 | SIGMOD | 0.00011140898 |
| 2,818 | CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers | 2020 | SIGMOD | 8.0932359e-05 |
| 3,499 | Unicorn: A System for Searching the Social Graph | 2013 | VLDB | 7.362886e-05 |
| 4,930 | IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy | 2022 | SIGMOD | 6.4402718e-05 |
| 6,083 | Global and Local Differentially Private Release of Count-Weighted Graphs | 2023 | SIGMOD | 5.9833455e-05 |
| 6,171 | Longshot: Indexing Growing Databases using MPC and Differential Privacy | 2023 | VLDB | 5.9513399e-05 |
| 6,288 | Publishing Attributed Social Graphs with Formal Privacy Guarantees | 2016 | SIGMOD | 5.9264969e-05 |
| 9,068 | Efficient Secure and Verifiable Location-Based Skyline Queries over Encrypted Data | 2022 | VLDB | 5.3251649e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,977 | Injecting Uncertainty in Graphs for Identity Obfuscation | 2012 | VLDB |
| 2 | 11,026 | PrivEval: a tool for interactive evaluation of privacy metrics in synthetic data generation | 2025 | VLDB |
| 3 | 985 | Towards Identity Anonymization on Graphs | 2008 | SIGMOD |
| 4 | 8,545 | Personalized Privacy Protection in Social Networks | 2011 | VLDB |
| 5 | 7,338 | DPGraph: A Benchmark Platform for Differentially Private Graph Analysis | 2021 | SIGMOD |
| 6 | 6,083 | Global and Local Differentially Private Release of Count-Weighted Graphs | 2023 | SIGMOD |
| 7 | 9,552 | Practical and Accurate Local Edge Differentially Private Graph Algorithms | 2025 | VLDB |
| 8 | 10,970 | Continuous Publication of Weighted Graphs with Local Differential Privacy | 2025 | VLDB |
| 9 | 6,288 | Publishing Attributed Social Graphs with Formal Privacy Guarantees | 2016 | SIGMOD |
| 10 | 10,392 | PrivAGS: Differentially Private Attributed Graph Synthesis | 2026 | SIGMOD |