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
- 2. Xiaokui Xiao
- 3. Yin Yang
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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 |
|---|---|---|---|---|
| 453 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB | 0.00022741848 |
| 2,421 | Data Synthesis based on Generative Adversarial Networks | 2018 | VLDB | 8.8514021e-05 |
| 2,881 | Data Synthesis via Differentially Private Markov Random Fields | 2021 | VLDB | 7.9665978e-05 |
| 3,304 | Plausible Deniability for Privacy-Preserving Data Synthesis | 2017 | VLDB | 7.2467347e-05 |
| 3,329 | AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data | 2022 | VLDB | 7.2156424e-05 |
| 3,831 | Kamino: Constraint-Aware Differentially Private Data Synthesis | 2021 | VLDB | 6.7181688e-05 |
| 5,349 | PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy | 2023 | SIGMOD | 5.553869e-05 |
| 6,887 | Synthesizing Linked Data Under Cardinality and Integrity Constraints | 2021 | SIGMOD | 4.8937852e-05 |
| 7,864 | Differentially Private Data Release over Multiple Tables | 2023 | PODS | 4.6327272e-05 |
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| 1,738 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB | 0.00010720057 |
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