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Privacy-Preserving Data Mining

Summary: Privacy-preserving data mining: build models from perturbed training data without access to exact individual records. Introduces a reconstruction procedure to recover the original-data distributions, enabling decision-tree classifiers with accuracy close to that achieved with original data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hff4fcb4ca930dc90
Venue
SIGMOD
Year
2000
Pagerank
0.00037940729
Overall Rank
69 | 99.54%
DOI
10.1145/342009.335438

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{agrawal_sigmod00,
        title = {{Privacy-Preserving Data Mining}},
        author = {Agrawal, Rakesh and Srikant, Ramakrishnan},
        series = {{SIGMOD} '00},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/342009.335438},
        url = {https://dl.acm.org/doi/10.1145/342009.335438},
        year = {2000}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 52 citing papers.

Rank Citing Paper Year Venue Pagerank
64 Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis 2009 SIGMOD 0.00038504258
122 Revealing Information while Preserving Privacy 2003 PODS 0.00030756232
133 Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release 2007 PODS 0.00030046147
226 Limiting Privacy Breaches in Privacy Preserving Data Mining 2003 PODS 0.00023973554
254 On the Design and Quantification of Privacy Preserving Data Mining Algorithms 2001 PODS 0.00023009248
404 On the Complexity of Optimal K-Anonymity 2004 PODS 0.00019072866
449 Dynamic Authenticated Index Structures for Outsourced Databases 2006 SIGMOD 0.00018113248
520 Practical Privacy: The SuLQ Framework 2005 PODS 0.00016931295
1,097 Privacy Preserving OLAP 2005 SIGMOD 0.00012035305
1,278 Privacy Preserving Vertical Federated Learning for Tree-based Models 2020 VLDB 0.00011232568
1,323 Minimality Attack in Privacy Preserving Data Publishing 2007 VLDB 0.00011023322
1,331 A Privacy-Preserving Index for Range Queries 2004 VLDB 0.00010994032
1,496 SMCQL: Secure Querying for Federated Databases 2017 VLDB 0.00010479934
1,705 Injecting Utility into Anonymized Datasets 2006 SIGMOD 9.8267971e-05
1,782 The Boundary Between Privacy and Utility in Data Publishing 2007 VLDB 9.6477589e-05
1,870 On k-Anonymity and the Curse of Dimensionality 2005 VLDB 9.4669965e-05
1,873 Information Sharing Across Private Databases 2003 SIGMOD 9.4588291e-05
2,167 Data Synthesis based on Generative Adversarial Networks 2018 VLDB 8.9299807e-05
2,178 Two Can Keep a Secret: A Distributed Architecture for Secure Database Services 2005 CIDR 8.9117503e-05
2,310 Secure kNN Computation on Encrypted Databases 2009 SIGMOD 8.662463e-05
2,400 Query Execution Assurance for Outsourced Databases 2005 VLDB 8.5176046e-05
3,359 Towards Robustness in Query Auditing 2006 VLDB 7.3746967e-05
3,927 Checking for k-Anonymity Violation by Views 2005 VLDB 6.916351e-05
3,993 Output Perturbation with Query Relaxation 2008 VLDB 6.8652975e-05
4,432 Anonymization of Set-Valued Data via Top-Down, Local Generalization 2009 VLDB 6.5992973e-05
4,460 Fast Range Query Processing with Strong Privacy Protection for Cloud Computing 2014 VLDB 6.5878082e-05
4,632 Distributed Privacy Preserving Information Sharing 2005 VLDB 6.4923584e-05
4,653 Deriving Private Information from Randomized Data 2005 SIGMOD 6.4826937e-05
4,664 Time Series Compressibility and Privacy 2007 VLDB 6.4782305e-05
4,797 Optimal Random Perturbation at Multiple Privacy Levels 2009 VLDB 6.40944e-05
4,962 PrivateClean: Data Cleaning and Differential Privacy 2016 SIGMOD 6.3360478e-05
7,209 Vision Paper: Enabling Privacy for the Paranoids 2004 VLDB 5.5821959e-05
8,048 Privacy-Enhancing k-Anonymization of Customer Data 2005 PODS 5.3989672e-05
8,693 Measuring Re-identification Risk 2023 SIGMOD 5.2880532e-05
8,726 Computational Complexity of Itemset Frequency Satisfiability 2004 PODS 5.2880532e-05
8,835 Privacy-MaxEnt: Integrating Background Knowledge in Privacy Quantification 2008 SIGMOD 5.2661518e-05
8,836 To Do or Not To Do: The Dilemma of Disclosing Anonymized Data 2005 SIGMOD 5.2661518e-05
9,498 LLM-PBE: Assessing Data Privacy in Large Language Models 2024 VLDB 5.168414e-05
9,672 Small Domain Randomization: Same Privacy, More Utility 2010 VLDB 5.142891e-05
9,674 Preservation of Proximity Privacy in Publishing Numerical Sensitive Data 2008 SIGMOD 5.142891e-05
9,974 TransNet: Training Privacy-Preserving Neural Network over Transformed Layer 2020 VLDB 5.1014161e-05
10,714 Bifrost: A Much Simpler Secure Two-Party Data Join Protocol for Secure Data Analytics 2026 VLDB 4.9769913e-05
10,764 Secure Join Operations in Multi-Identifier Databases: Performance and Practicality 2026 VLDB 4.9769913e-05
12,581 Lightweight Privacy-Preserving Peer-to-Peer Data Integration 2013 VLDB 4.9769913e-05
12,598 The Power of the Dinur-Nissim Algorithm: Breaking Privacy of Statistical and Graph Databases 2012 PODS 4.9769913e-05
12,606 Aggregate Suppression for Enterprise Search Engines 2012 SIGMOD 4.9769913e-05
12,681 Randomized Generalization for Aggregate Suppression Over Hidden Web Databases 2011 VLDB 4.9769913e-05
12,721 Non-homogeneous Generalization in Privacy Preserving Data Publishing 2010 SIGMOD 4.9769913e-05
12,791 Privacy Preservation of Aggregates in Hidden Databases: Why and How? 2009 SIGMOD 4.9769913e-05
12,841 Publishing Naive Bayesian Classifiers: Privacy without Accuracy Loss 2009 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

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