PrivGene: Differentially Private Model Fitting Using Genetic Algorithms
Summary: PrivGene is a DP model-fitting framework using genetic algorithms to reduce perturbation and improve quality vs baselines. Novelty: enhanced exponential mechanism for model fitting; results on logistic regression, SVM, and k-means. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jun Zhang
- 2. Xiaokui Xiao
- 3. Yin Yang
- 4. Zhenjie Zhang
- 5. Marianne Winslett
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,446 | PrivBayes: Private Data Release via Bayesian Networks | 2014 | SIGMOD | 0.0001194108 |
| 1,520 | PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions | 2016 | SIGMOD | 0.00011535148 |
| 3,638 | Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics | 2017 | SIGMOD | 6.8952488e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 178 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00037697111 |
| 742 | Optimizing Linear Counting Queries Under Differential Privacy | 2010 | PODS | 0.00017360873 |
| 878 | Differentially Private Data Cubes: Optimizing Noise Sources and Consistency | 2011 | SIGMOD | 0.00015702437 |
| 1,465 | No Free Lunch in Data Privacy | 2011 | SIGMOD | 0.00011860847 |
| 1,567 | PrivBasis: Frequent Itemset Mining with Differential Privacy | 2012 | VLDB | 0.0001133268 |
| 1,681 | GUPT: Privacy Preserving Data Analysis Made Easy | 2012 | SIGMOD | 0.00010929746 |
| 2,052 | Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy | 2012 | VLDB | 9.676612e-05 |
| 4,472 | A Rigorous and Customizable Framework for Privacy | 2012 | PODS | 6.1543113e-05 |
| 4,600 | Functional Mechanism: Regression Analysis under Differential Privacy | 2012 | VLDB | 6.0578625e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,313 | Pythia: Data Dependent Differentially Private Algorithm Selection | 2017 | SIGMOD | 4.7651627e-05 |
| 3,304 | Plausible Deniability for Privacy-Preserving Data Synthesis | 2017 | VLDB | 7.2467347e-05 |
| 10,798 | PrivEval: a tool for interactive evaluation of privacy metrics in synthetic data generation | 2025 | VLDB | 4.1945683e-05 |
| 2,682 | Personalized Privacy Preservation | 2006 | SIGMOD | 8.3202837e-05 |
| 1,446 | PrivBayes: Private Data Release via Bayesian Networks | 2014 | SIGMOD | 0.0001194108 |
| 40 | Privacy-Preserving Data Mining | 2000 | SIGMOD | 0.00074232718 |
| 6,914 | Private Incremental Regression | 2017 | PODS | 4.8925595e-05 |
| 147 | On the Design and Quantification of Privacy Preserving Data Mining Algorithms | 2001 | PODS | 0.00041235556 |
| 7,797 | Quantifying identifiability to choose and audit epsilon in differentially private deep learning | 2021 | VLDB | 4.6482625e-05 |
| 4,600 | Functional Mechanism: Regression Analysis under Differential Privacy | 2012 | VLDB | 6.0578625e-05 |