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)
Incoming Non-self Citations Over Time
Authors
- 1. Ninghui Li (Purdue University)
- 2. Wahbeh Qardaji (Purdue University)
- 3. Dong Su (Purdue University)
- 4. Jianneng Cao (Purdue University)
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.
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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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 121 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00031639377 |
| 123 | Revealing Information while Preserving Privacy | 2003 | PODS | 0.00031082693 |
| 130 | Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release | 2007 | PODS | 0.00030604781 |
| 510 | Practical Privacy: The SuLQ Framework | 2005 | PODS | 0.00017220509 |
| 711 | Beyond Market Baskets: Generalizing Association Rules to Correlations | 1997 | SIGMOD | 0.00014713746 |
| 1,817 | On k-Anonymity and the Curse of Dimensionality | 2005 | VLDB | 9.6832973e-05 |
| 2,856 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB | 8.0321774e-05 |
| 3,232 | Privacy-preserving Anonymization of Set-valued Data | 2008 | VLDB | 7.6179491e-05 |
| 4,344 | Anonymization of Set-Valued Data via Top-Down, Local Generalization | 2009 | VLDB | 6.7522581e-05 |
| 5,494 | rho-uncertainty: Inference-Proof Transaction Anonymization | 2010 | VLDB | 6.1997164e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 13,997 | Mining Frequent Itemsets with Bit Strings and Trie | 2002 | VLDB |
| 2 | 4,683 | False Positive or False Negative: Mining Frequent Itemsets from High Speed Transactional Data Streams | 2004 | VLDB |
| 3 | 9,212 | Feasible Itemset Distributions in Data Mining: Theory and Application | 2003 | PODS |
| 4 | 12,882 | Mining Frequent Itemsets Using Support Constraints | 2000 | VLDB |
| 5 | 7,548 | Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory | 2024 | SIGMOD |
| 6 | 12,150 | Beyond Itemsets: Mining Frequent Featuresets over Structured Items | 2015 | VLDB |
| 7 | 3,232 | Privacy-preserving Anonymization of Set-valued Data | 2008 | VLDB |
| 8 | 2,856 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB |
| 9 | 5,538 | Mining Frequent Patterns with Differential Privacy | 2013 | VLDB |
| 10 | 2,366 | On Differentially Private Frequent Itemset Mining | 2013 | VLDB |