PrivPetal: Relational Data Synthesis via Permutation Relations
Summary: PrivPetal uses permutation relations to synthesize a flattened view, then decomposes to base tables, avoiding DP on join keys. A refined Markov random field with fine-grained privacy analysis delivers high-utility synthetic data, beating PrivLava on aggregate queries across real data and TPC-H. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Kuntai Cai (National University of Singapore)
- 2. Xiaokui Xiao (National University of Singapore)
- 3. Yin Yang (Hamad Bin Khalifa University)
BibTeX Citation
@inproceedings{cai_sigmod25,
title = {{PrivPetal: Relational Data Synthesis via Permutation Relations}},
author = {Cai, Kuntai and Xiao, Xiaokui and Yang, Yin},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725341},
url = {https://dl.acm.org/doi/10.1145/3725341},
year = {2025}
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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 |
|---|---|---|---|---|
| 276 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB | 0.0002234348 |
| 2,165 | Data Synthesis based on Generative Adversarial Networks | 2018 | VLDB | 8.933677e-05 |
| 2,533 | Data Synthesis via Differentially Private Markov Random Fields | 2021 | VLDB | 8.3345608e-05 |
| 2,902 | AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data | 2022 | VLDB | 7.8828375e-05 |
| 3,078 | Plausible Deniability for Privacy-Preserving Data Synthesis | 2017 | VLDB | 7.6723869e-05 |
| 3,292 | Kamino: Constraint-Aware Differentially Private Data Synthesis | 2021 | VLDB | 7.4491643e-05 |
| 4,944 | PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy | 2023 | SIGMOD | 6.3439252e-05 |
| 6,896 | Synthesizing Linked Data Under Cardinality and Integrity Constraints | 2021 | SIGMOD | 5.6532847e-05 |
| 8,008 | Differentially Private Data Release over Multiple Tables | 2023 | PODS | 5.4075828e-05 |
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