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)
Incoming Non-self Citations Over Time
Authors
- 1. David Pujol
- 2. Amir Gilad
- 3. Ashwin Machanavajjhala
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,223 | On Fair Epsilon Net and Geometric Hitting Set | 2026 | VLDB | 4.1945683e-05 |
| 10,724 | Privacy-Enhanced Database Synthesis for Benchmark Publishing | 2025 | VLDB | 4.1945683e-05 |
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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 |
|---|---|---|---|---|
| 136 | Revealing Information while Preserving Privacy | 2003 | PODS | 0.0004241101 |
| 1,041 | Interventional Fairness : Causal Database Repair for Algorithmic Fairness | 2019 | SIGMOD | 0.00014482047 |
| 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 |
| 1,738 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB | 0.00010720057 |
| 2,434 | Optimizing error of high-dimensional statistical queries under differential privacy | 2018 | VLDB | 8.8278955e-05 |
| 3,831 | Kamino: Constraint-Aware Differentially Private Data Synthesis | 2021 | VLDB | 6.7181688e-05 |
| 4,252 | DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing | 2014 | VLDB | 6.3233894e-05 |
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