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Publishing Set-Valued Data via Differential Privacy

Summary: Differentially private release of set-valued data via taxonomy trees and a top-down partitioning with linear scaling. Shows epsilon-delta usefulness for counting queries; preserves utility for counting and frequent itemsets; validated on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10363
Venue
VLDB
Year
2011
Pagerank
8.0321774e-05
Overall Rank
2,856 | 80.41%
DOI
10.14778/3402707.3402744

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chen_vldb11,
        title = {{Publishing Set-Valued Data via Differential Privacy}},
        author = {Chen, Rui and Mohammed, Noman and Fung, Benjamin C. M. and Desai, Bipin C. and Xiong, Li},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {11},
        pages = {1087--1098},
        doi = {10.14778/3402707.3402744},
        url = {https://doi.org/10.14778/3402707.3402744},
        year = {2011}
}

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