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PrivBasis: Frequent Itemset Mining with Differential Privacy

Summary: PrivBasis uses theta-basis sets to enable differentially private mining: any high-frequency itemset is contained in some basis. It privately constructs the basis and derives frequent itemsets efficiently, outperforming state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h73ca1579eeded8f9
Venue
VLDB
Year
2012
Pagerank
0.00010562758
Overall Rank
1,458 | 90.23%
DOI
10.14778/2350229.2350261

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb12,
        title = {{PrivBasis: Frequent Itemset Mining with Differential Privacy}},
        author = {Li, Ninghui and Qardaji, Wahbeh and Su, Dong and Cao, Jianneng},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {11},
        pages = {1340--1351},
        doi = {10.14778/2350229.2350261},
        url = {https://doi.org/10.14778/2350229.2350261},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

Rank Citing Paper Year Venue Pagerank
1,160 PrivBayes: Private Data Release via Bayesian Networks 2014 SIGMOD 0.00011733273
1,334 PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions 2016 SIGMOD 0.00010981739
1,620 PriView: Practical Differentially Private Release of Marginal Contingency Tables 2014 SIGMOD 0.00010041603
2,137 Differentially Private Event Sequences over Infinite Streams 2014 VLDB 8.9783832e-05
2,431 On Differentially Private Frequent Itemset Mining 2013 VLDB 8.4641619e-05
4,107 Differential Privacy in Telco Big Data Platform 2015 VLDB 6.7901733e-05
4,984 PrivateClean: Data Cleaning and Differential Privacy 2016 SIGMOD 6.3150969e-05
5,207 APEx: Accuracy-Aware Differentially Private Data Exploration 2019 SIGMOD 6.2156712e-05
5,686 Mining Frequent Patterns with Differential Privacy 2013 VLDB 6.0203738e-05
5,698 Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges 2017 SIGMOD 6.0140309e-05
5,901 LDPTrace: Locally Differentially Private Trajectory Synthesis 2023 VLDB 5.9362782e-05
6,516 Differential Privacy in the Wild: A tutorial on current practices & open challenges 2016 VLDB 5.7432938e-05
6,787 PrivGene: Differentially Private Model Fitting Using Genetic Algorithms 2013 SIGMOD 5.6656994e-05
8,901 Set-valued Data Publication with Local Privacy: Tight Error Bounds and Efficient Mechanisms 2020 VLDB 5.2398721e-05
8,910 DPXPlain: Privately Explaining Aggregate Query Answers 2023 VLDB 5.2369069e-05
10,743 Privacy Loss of Noise Perturbation via Concentration Analysis of A Product Measure 2026 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

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