Bifrost: A Much Simpler Secure Two-Party Data Join Protocol for Secure Data Analytics
Summary: Bifrost: redundancy-free 2PC secure join for vertically partitioned data, aimed at downstream SDA. Key novelty: a simpler construction using ECDH-PSI + one oblivious shuffle (dual mapping), avoiding OPPRF/multi-round shuffles and dummy-row blowup from CPSI. (summarized by gpt-5.4-mini on Apr 12 2026)
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Authors
- 1. Shuyu Chen
- 2. Mingxun Zhou
- 3. Haoyu Niu
- 4. Guopeng Lin
- 5. Weili Han
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 40 | Privacy-Preserving Data Mining | 2000 | SIGMOD | 0.00074213516 |
| 1,099 | Privacy Preserving Vertical Federated Learning for Tree-based Models | 2020 | VLDB | 0.00014063542 |
| 1,291 | SMCQL: Secure Querying for Federated Databases | 2017 | VLDB | 0.00012771034 |
| 2,549 | Efficient Oblivious Database Joins | 2020 | VLDB | 8.5572389e-05 |
| 2,856 | A Worst-Case Optimal Multi-Round Algorithm for Parallel Computation of Conjunctive Queries | 2017 | PODS | 8.0120856e-05 |
| 4,128 | Advanced Join Strategies for Large-Scale Distributed Computation | 2014 | VLDB | 6.4214449e-05 |
| 5,759 | Hu-Fu: Efficient and Secure Spatial Queries over Data Federation | 2022 | VLDB | 5.3372523e-05 |
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