SecretFlow-SCQL: A Secure Collaborative Query pLatform
Summary: SCQL: a general-purpose secure collaborative query platform that fuses optimized MPC protocols and relational operators to scale multi-party analytics while trading off security, usability, and efficiency. Demonstrates huge speedups (secure sort 126× vs EMP; end-to-end vertical query 1991× vs Secrecy with ASS), WAN scalability to 10^7 inputs, and real-world deployment at Ant Group. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wenjing Fang (Ant Financial)
- 2. Shunde Cao (Ant Financial)
- 3. Guojin Hua (Ant Financial)
- 4. Junming Ma (Ant Financial)
- 5. Yongqiang Yu (Ant Financial)
- 6. Qunshan Huang (Ant Financial)
- 7. Jun Feng (Ant Financial)
- 8. Jin Tan (Ant Financial)
- 9. Xiaopeng Zan (Ant Financial)
- 10. Pu Duan (Ant Financial)
- 11. Yang Yang (Ant Financial)
- 12. Li Wang (Ant Financial)
- 13. Ke Zhang (Ant Financial)
- 14. Lei Wang (Ant Financial)
BibTeX Citation
@article{fang_vldb24,
title = {{SecretFlow-SCQL: A Secure Collaborative Query pLatform}},
author = {Fang, Wenjing and Cao, Shunde and Hua, Guojin and Ma, Junming and Yu, Yongqiang and Huang, Qunshan and Feng, Jun and Tan, Jin and Zan, Xiaopeng and Duan, Pu and Yang, Yang and Wang, Li and Zhang, Ke and Wang, Lei},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {3987--4000},
doi = {10.14778/3685800.3685821},
url = {https://doi.org/10.14778/3685800.3685821},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,396 | How SMPC Query Execution can be sped up through Efficient and Flexible Intermediate Result Size Trimming | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 420 | Processing Analytical Queries over Encrypted Data | 2013 | VLDB | 0.00018540576 |
| 1,644 | Arx: An Encrypted Database using Semantically Secure Encryption | 2019 | VLDB | 0.00010004324 |
| 2,017 | Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations | 2019 | VLDB | 9.1758131e-05 |
| 3,191 | HEDA: Multi-Attribute Unbounded Aggregation over Homomorphically Encrypted Database | 2023 | VLDB | 7.5516658e-05 |
| 3,311 | BlindFL: Vertical Federated Machine Learning without Peeking into Your Data | 2022 | SIGMOD | 7.4392547e-05 |
| 5,755 | SDB: A Secure Query Processing System with Data Interoperability | 2015 | VLDB | 6.0057988e-05 |
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| 4 | 8,893 | SecuDB: An In-enclave Privacy-preserving and Tamper-resistant Relational Database | 2024 | VLDB |
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| 8 | 11,216 | SPECIAL: SynoPsis AssistEd Secure CollaboratIve AnaLytics | 2025 | VLDB |
| 9 | 1,495 | SMCQL: Secure Querying for Federated Databases | 2017 | VLDB |
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