DBScholar

Back to papers

NSHEDB: Noise-Sensitive Homomorphic Encrypted Database Query Engine

Summary: NSHEDB is a noise-aware HE query engine using word-level BFV leveled HE to avoid bootstrapping, transciphering, and trusted hardware. Novel homomorphic equality/range/aggregation operators plus planner-level noise management yield large TPC-H speedups and much smaller ciphertexts at 128-bit semi-honest security. (summarized by gpt-5-mini on Apr 11 2026)

Paper ID
7688
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,475 | 28.14%
DOI
10.1145/3786671

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{jung_sigmod26,
        title = {{NSHEDB: Noise-Sensitive Homomorphic Encrypted Database Query Engine}},
        author = {Jung, Boram and Tseng, Hung-Wei and Li, Yuliang},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3786671},
        url = {https://dl.acm.org/doi/10.1145/3786671},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers