VeriBench: Analyzing the Performance of Database Systems with Verifiability
Summary: VeriBench: an extensible benchmark and design-space survey that unifies evaluation of verifiability-enabled DBs by standardizing client-side verification across diverse ADSs and threat models. Uses micro/macro workloads to quantify verification overheads and expose ADS/query/verification/auditing trade-offs to guide system design. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Cong Yue (National University of Singapore)
- 2. Meihui Zhang (Beijing Institute of Technology)
- 3. Changhao Zhu (Beijing Institute of Technology)
- 4. Gang Chen (Zhejiang University)
- 5. Dumitrel Loghin (National University of Singapore)
- 6. Beng Chin Ooi (National University of Singapore)
BibTeX Citation
@article{yue_vldb23,
title = {{VeriBench: Analyzing the Performance of Database Systems with Verifiability}},
author = {Yue, Cong and Zhang, Meihui and Zhu, Changhao and Chen, Gang and Loghin, Dumitrel and Ooi, Beng Chin},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {9},
pages = {2145--2157},
doi = {10.14778/3598581.3598588},
url = {https://doi.org/10.14778/3598581.3598588},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,730 | SecuDB: An In-enclave Privacy-preserving and Tamper-resistant Relational Database | 2024 | VLDB | 5.3766157e-05 |
| 9,770 | PoneglyphDB: Efficient Non-interactive Zero-Knowledge Proofs for Arbitrary SQL-Query Verification | 2025 | SIGMOD | 5.2209769e-05 |
| 11,231 | Accelerating Merkle Patricia Trie with GPU | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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