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Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism

Summary: XOR-based DP for binary- and matrix-valued queries with matrix-Bernoulli noise; privacy and utility guaranteed. Heuristic learning minimizes squared error under epsilon-DP; uses exact HMC sampling; shows DP utility gains in classification and networks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12787
Venue
VLDB
Year
2021
Pagerank
6.0447537e-05
Overall Rank
5,908 | 59.47%
DOI
10.14778/3446095.3446106

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ji_vldb21,
        title = {{Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism}},
        author = {Ji, Tianxi and Li, Pan and Yilmaz, Emre and Ayday, Erman and Ye, Yanfang (Fanny) and Sun, Jinyuan},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {5},
        pages = {849--862},
        doi = {10.14778/3446095.3446106},
        url = {https://doi.org/10.14778/3446095.3446106},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
596 Private Analysis of Graph Structure 2011 VLDB 0.00015926024
1,790 Publishing Graph Degree Distribution with Node Differential Privacy 2016 SIGMOD 9.7502278e-05
2,562 Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies 2014 SIGMOD 8.4127196e-05
3,375 Bayesian Differential Privacy on Correlated Data 2015 SIGMOD 7.4639817e-05
4,302 Pufferfish Privacy Mechanisms for Correlated Data 2017 SIGMOD 6.7720437e-05
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