Secure Multi-Party Sampling over Joins
Summary: First efficient MPC protocol for sampling over joins, enabling approximate relational analytics without revealing inputs or metadata (e.g., degrees, join sizes). Near-linear complexity; supports multi-way joins, comparisons, group-by, with large speedups over secure join-then-sample baselines. (summarized by gpt-5.4-mini on May 27 2026)
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Authors
- 1. Qiyao Luo (Ant Financial)
- 2. Quanqing Xu (Ant Financial)
- 3. Chuanhui Yang (Ant Financial)
BibTeX Citation
@article{luo_vldb26,
title = {{Secure Multi-Party Sampling over Joins}},
author = {Luo, Qiyao and Xu, Quanqing and Yang, Chuanhui},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {7},
pages = {1455--1468},
doi = {10.14778/3801059.3801062},
url = {https://doi.org/10.14778/3801059.3801062},
year = {2026}
}
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