ZKSQL: Verifiable and Efficient Query Evaluation with Zero-Knowledge Proofs
Summary: ZKSQL enables privacy-preserving, authenticated answers to ad-hoc SQL queries via zero-knowledge proofs of correct, complete evaluation without revealing input records. Authenticated set operations accelerate proof generation, yielding 100× speedups over baseline on TPC-H. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiling Li (Northwestern University)
- 2. Chenkai Weng (Northwestern University)
- 3. Yongxin Xu (Northwestern University)
- 4. Xiao Wang (Northwestern University)
- 5. Jennie Rogers (Northwestern University)
BibTeX Citation
@article{li_vldb23,
title = {{ZKSQL: Verifiable and Efficient Query Evaluation with Zero-Knowledge Proofs}},
author = {Li, Xiling and Weng, Chenkai and Xu, Yongxin and Wang, Xiao and Rogers, Jennie},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {8},
pages = {1804--1816},
doi = {10.14778/3594512.3594513},
url = {https://doi.org/10.14778/3594512.3594513},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,116 | PoneglyphDB: Efficient Non-interactive Zero-Knowledge Proofs for Arbitrary SQL-Query Verification | 2025 | SIGMOD | 5.580601e-05 |
| 8,569 | Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs | 2024 | VLDB | 5.2991861e-05 |
| 10,660 | Privacy-preserving and Verifiable Causal Prescriptive Analytics | 2026 | SIGMOD | 4.9605343e-05 |
| 10,666 | Reliable and Private Utility Signaling for Data Markets | 2026 | SIGMOD | 4.9605343e-05 |
| 10,881 | V3DB: Audit-on-Demand Zero-Knowledge Proofs for Verifiable Vector Search over Committed Snapshots | 2026 | VLDB | 4.9605343e-05 |
| 11,363 | Alchemy: A Query Optimization Framework for Oblivious SQL | 2025 | VLDB | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 382 | Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources | 2018 | SIGMOD | 0.0001946654 |
| 1,730 | CorrectDB: SQL Engine with Practical Query Authentication | 2013 | VLDB | 9.7592413e-05 |
| 2,032 | Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations | 2019 | VLDB | 9.1412376e-05 |
| 4,212 | VeriDB: An SGX-based Verifiable Database | 2021 | SIGMOD | 6.7201474e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,499 | SMCQL: Secure Querying for Federated Databases | 2017 | VLDB |
| 2 | 11,689 | DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System | 2024 | VLDB |
| 3 | 12,532 | SQL/AA: Executing SQL on an Asymmetric Architecture | 2014 | VLDB |
| 4 | 6,859 | Efficient Auditing For Complex SQL queries | 2011 | SIGMOD |
| 5 | 11,581 | Relational Algorithms for Top-k Query Evaluation | 2024 | SIGMOD |
| 6 | 7,315 | Architecting a Differentially Private SQL Engine | 2019 | CIDR |
| 7 | 5,452 | When Query Authentication Meets Fine-Grained Access Control: A Zero-Knowledge Approach | 2018 | SIGMOD |
| 8 | 1,170 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB |
| 9 | 10,660 | Privacy-preserving and Verifiable Causal Prescriptive Analytics | 2026 | SIGMOD |
| 10 | 7,116 | PoneglyphDB: Efficient Non-interactive Zero-Knowledge Proofs for Arbitrary SQL-Query Verification | 2025 | SIGMOD |