DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing
Summary: DPSynthesizer is an open-source toolkit for differentially private synthetic-data generation. Its key component, DPCopula, releases private copulas to model dependencies and scale beyond low-dimensional histograms to high-dimensional, large-domain data. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Haoran Li (Emory University)
- 2. Li Xiong (Emory University)
- 3. Lifan Zhang (Emory University)
- 4. Xiaoqian Jiang (University of California San Diego)
BibTeX Citation
@article{li_vldb14,
title = {{DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing}},
author = {Li, Haoran and Xiong, Li and Zhang, Lifan and Jiang, Xiaoqian},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1677--1680},
doi = {10.14778/2733004.2733059},
url = {https://doi.org/10.14778/2733004.2733059},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,412 | Kamino: Constraint-Aware Differentially Private Data Synthesis | 2021 | VLDB | 7.4344343e-05 |
| 4,261 | Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration | 2020 | VLDB | 6.7982037e-05 |
| 7,358 | PreFair: Privately Generating Justifiably Fair Synthetic Data | 2023 | VLDB | 5.6344213e-05 |
| 7,909 | Differentially Private Data Generation with Missing Data | 2024 | VLDB | 5.5181056e-05 |
| 10,967 | Privacy-Enhanced Database Synthesis for Benchmark Publishing | 2025 | VLDB | 5.093636e-05 |
| 11,026 | PrivEval: a tool for interactive evaluation of privacy metrics in synthetic data generation | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 62 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00038970535 |
| 121 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00031639377 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,026 | PrivEval: a tool for interactive evaluation of privacy metrics in synthetic data generation | 2025 | VLDB |
| 2 | 11,130 | Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections | 2024 | PODS |
| 3 | 10,647 | Private Synthetic Data Generation in Bounded Memory | 2025 | PODS |
| 4 | 7,909 | Differentially Private Data Generation with Missing Data | 2024 | VLDB |
| 5 | 11,349 | DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms | 2024 | VLDB |
| 6 | 10,254 | HeteroFedSyn: Differentially Private Tabular Data Synthesis for Heterogeneous Federated Settings | 2026 | SIGMOD |
| 7 | 10,345 | Benchmarking Differentially Private Tabular Data Synthesis: [Experiments & Analysis] | 2026 | SIGMOD |
| 8 | 2,476 | Data Synthesis via Differentially Private Markov Random Fields | 2021 | VLDB |
| 9 | 3,016 | Plausible Deniability for Privacy-Preserving Data Synthesis | 2017 | VLDB |
| 10 | 7,924 | PSynDB: Accurate and Accessible Private Data Generation | 2019 | VLDB |