PSynDB: Accurate and Accessible Private Data Generation

Summary: PSynDB: a web-based synthetic-table generator with differential privacy, delivering high-accuracy data for user-defined analytics. Users can browse expected error rates to tune the privacy budget, and PSynDB outputs a portable data-synthesis program for trusted-environment data generation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12088
Venue: VLDB
Year: 2019
Pagerank: 5.5181056e-05
Overall Rank: 7,924 | 45.64%
DOI: 10.14778/3352063.3352099

Incoming Non-self Citations Over Time

Authors

1. Zhiqi Huang (University of Massachusetts Amherst)
2. Ryan McKenna (University of Massachusetts Amherst)
3. George Bissias (University of Massachusetts Amherst)
4. Gerome Miklau (University of Massachusetts Amherst)
5. Michael Hay (Colgate University)
6. Ashwin Machanavajjhala (Duke University)

BibTeX Citation

@article{huang_vldb19,
        title = {{PSynDB: Accurate and Accessible Private Data Generation}},
        author = {Huang, Zhiqi and McKenna, Ryan and Bissias, George and Miklau, Gerome and Hay, Michael and Machanavajjhala, Ashwin},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {12},
        pages = {1918--1921},
        doi = {10.14778/3352063.3352099},
        url = {https://doi.org/10.14778/3352063.3352099},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,841	AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data	2022	VLDB	8.0637668e-05
11,026	PrivEval: a tool for interactive evaluation of privacy metrics in synthetic data generation	2025	VLDB	5.093636e-05
11,349	DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms	2024	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
123	Revealing Information while Preserving Privacy	2003	PODS	0.00031082693
611	Optimizing Linear Counting Queries Under Differential Privacy	2010	PODS	0.00015747402
2,167	Optimizing error of high-dimensional statistical queries under differential privacy	2018	VLDB	9.047803e-05
4,361	ϵktelo: A Framework for Defining Differentially-Private Computations	2018	SIGMOD	6.7443476e-05

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4	10,967	Privacy-Enhanced Database Synthesis for Benchmark Publishing	2025	VLDB
5	10,647	Private Synthetic Data Generation in Bounded Memory	2025	PODS
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8	3,939	DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing	2014	VLDB
9	11,026	PrivEval: a tool for interactive evaluation of privacy metrics in synthetic data generation	2025	VLDB
10	3,016	Plausible Deniability for Privacy-Preserving Data Synthesis	2017	VLDB