PreFair: Privately Generating Justifiably Fair Synthetic Data

Summary: PreFair integrates causal "justifiable fairness" into DP synthetic-data generation, adapting the notion for the synthetic-data setting to enforce fairness. It proves intractability, gives algorithms optimal under assumptions, and empirically yields significantly fairer synthetic data with comparable fidelity to leading DP generators. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: h219a2272530bd91c
Venue: VLDB
Year: 2023
Pagerank: 5.7569675e-05
Overall Rank: 6,522 | 56.16%
DOI: 10.14778/3583140.3583168

Incoming Non-self Citations Over Time

Authors

1. David Pujol (Duke University)
2. Amir Gilad (Duke University)
3. Ashwin Machanavajjhala (Duke University)

BibTeX Citation

@article{pujol_vldb23,
        title = {{PreFair: Privately Generating Justifiably Fair Synthetic Data}},
        author = {Pujol, David and Gilad, Amir and Machanavajjhala, Ashwin},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {6},
        pages = {1573--1586},
        doi = {10.14778/3583140.3583168},
        url = {https://doi.org/10.14778/3583140.3583168},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,454	Fair Data Pre-Processing with Imperfect Attribute Space	2026	SIGMOD	4.9793485e-05
10,696	On Fair Epsilon Net and Geometric Hitting Set	2026	VLDB	4.9793485e-05
10,795	Measuring Database Unfairness via Dependency Quantification Under Differential Privacy	2026	VLDB	4.9793485e-05
10,811	Unbiased Binning for Fairness-aware Attribute Representation	2026	VLDB	4.9793485e-05
11,354	Privacy-Enhanced Database Synthesis for Benchmark Publishing	2025	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
122	Revealing Information while Preserving Privacy	2003	PODS	0.00030770793
803	Interventional Fairness : Causal Database Repair for Algorithmic Fairness	2019	SIGMOD	0.00013836858
1,155	PrivBayes: Private Data Release via Bayesian Networks	2014	SIGMOD	0.00011777587
1,166	PrivateSQL: A Differentially Private SQL Query Engine	2019	VLDB	0.00011731286
1,324	PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions	2016	SIGMOD	0.00011023355
2,090	Optimizing error of high-dimensional statistical queries under differential privacy	2018	VLDB	9.0657103e-05
3,292	Kamino: Constraint-Aware Differentially Private Data Synthesis	2021	VLDB	7.4491643e-05
3,983	DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing	2014	VLDB	6.8749211e-05

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