DPGraph: A Benchmark Platform for Differentially Private Graph Analysis
Summary: DPGraph offers a web-based, end-to-end benchmark platform for evaluating differential privacy in graph analysis. It includes tunable DP algorithms for graph metrics and a framework to reallocate privacy budget across algorithms, highlighting privacy–accuracy tradeoffs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Siyuan Xia (University of Waterloo)
- 2. Beizhen Chang (University of Waterloo)
- 3. Karl Knopf (University of Waterloo)
- 4. Yihan He (Courant Institute of Mathematical Sciences, New York University)
- 5. Yuchao Tao (Duke University)
- 6. Xi He (University of Waterloo)
BibTeX Citation
@inproceedings{xia_sigmod21,
title = {{DPGraph: A Benchmark Platform for Differentially Private Graph Analysis}},
author = {Xia, Siyuan and Chang, Beizhen and Knopf, Karl and He, Yihan and Tao, Yuchao and He, Xi},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3452756},
url = {https://dl.acm.org/doi/10.1145/3448016.3452756},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,282 | Prism: Private Relational Data Synthesis with Language Models | 2026 | SIGMOD | 5.093636e-05 |
| 11,370 | Node-Differentially Private Estimation of the Number of Connected Components | 2023 | PODS | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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