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)
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Authors
- 1. Hongbin Zhong (Georgia Institute of Technology)
- 2. Matthew Lentz (Duke University)
- 3. Nina Narodytska (VMware Research by Broadcom)
- 4. Adriana Szekeres (Microsoft)
- 5. Kexin Rong (Georgia Institute of Technology)
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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