DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System
Summary: DOP-SQL: a general-purpose DP SQL engine supporting selection, projection, aggregation, join, and group-by to answer broad classes of SQL queries. Integrates down‑neighborhood optimal DP mechanisms for state‑of‑the‑art utility; PostgreSQL-based and extensible to other SQL engines. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Jianzhe Yu
- 2. Wei Dong
- 3. Juanru Fang
- 4. Dajun Sun
- 5. Ke Yi
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Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 83 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00053910987 |
| 451 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB | 0.00022807098 |
| 1,740 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB | 0.00010696383 |
| 5,499 | R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys | 2022 | SIGMOD | 5.4737427e-05 |
| 7,059 | Residual Sensitivity for Differentially Private Multi-Way Joins | 2021 | SIGMOD | 4.8404261e-05 |
| 7,437 | Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy | 2023 | SIGMOD | 4.7258659e-05 |
| 7,441 | Continual Observation of Joins under Differential Privacy | 2024 | SIGMOD | 4.7251588e-05 |
| 11,166 | Universal Private Estimators | 2023 | PODS | 4.1905499e-05 |
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