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Honeybee: Efficient Role-based Access Control for Vector Databases via Dynamic Partitioning

Summary: Honeybee tackles RBAC for vector DBs via dynamic overlapping partitioning, exploiting the role/permission “thin waist” to choose vector replication adaptively. Analytic latency/recall models drive constrained optimization, yielding a middle ground between per-user indexes and shared post-filtering. (summarized by gpt-5-mini on Apr 11 2026)

Paper ID
7642
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,430 | 28.45%
DOI
10.1145/3786625

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BibTeX Citation

@inproceedings{zhong_sigmod26,
        title = {{Honeybee: Efficient Role-based Access Control for Vector Databases via Dynamic Partitioning}},
        author = {Zhong, Hongbin and Lentz, Matthew and Narodytska, Nina and Szekeres, Adriana and Rong, Kexin},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3786625},
        url = {https://dl.acm.org/doi/10.1145/3786625},
        year = {2026}
}

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