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Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy

Summary: Introduces the Low-Rank Mechanism (LRM), using low-rank workload approximation to make batch query answering under differential privacy practical and accurate. It approaches the theoretical lower bound and substantially outperforms matrix-mechanism and naive baselines. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10560
Venue
VLDB
Year
2012
Pagerank
9.4157042e-05
Overall Rank
1,956 | 86.59%
DOI
10.14778/2350229.2350254

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yuan_vldb12,
        title = {{Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy}},
        author = {Yuan, Ganzhao and Zhang, Zhenjie and Winslett, Marianne and Xiao, Xiaokui and Yang, Yin and Hao, Zhifeng},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {11},
        pages = {1352--1363},
        doi = {10.14778/2350229.2350254},
        url = {https://doi.org/10.14778/2350229.2350254},
        year = {2012}
}

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