Sketch-based Secure Query Processing for Streaming Data
Summary: A secret-shared MPC sketching framework supports secure group-by, frequency, top-k, distinct-count, and quantile queries via Count-Min, HyperLogLog, SpaceSaving, and GK sketches. It offers configurable accuracy/memory, ~O(1) amortized updates, and sub-millisecond throughput. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Jianzhe Yu (Hong Kong University of Science and Technology)
- 2. Feng Han (Alibaba)
- 3. Qi Dong (Hong Kong University of Science and Technology)
- 4. Qiyao Luo (Hong Kong University of Science and Technology)
- 5. Weiran Liu (Alibaba)
- 6. Lin Qu (Alibaba)
- 7. Ke Yi (Hong Kong University of Science and Technology)
BibTeX Citation
@inproceedings{yu_sigmod26,
title = {{Sketch-based Secure Query Processing for Streaming Data}},
author = {Yu, Jianzhe and Han, Feng and Dong, Qi and Luo, Qiyao and Liu, Weiran and Qu, Lin and Yi, Ke},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802110},
url = {https://dl.acm.org/doi/10.1145/3802110},
year = {2026}
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