Plausible Deniability for Privacy-Preserving Data Synthesis
Summary: Plausible deniability: a privacy criterion for data synthesis, independent of adversary; testable. Efficient synthetic-data generation preserves statistics and ML utility; with proper randomness, it yields differential privacy on big datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Vincent Bindschaedler (University of Illinois Urbana-Champaign)
- 2. Reza Shokri (Cornell University)
- 3. Carl A. Gunter (University of Illinois Urbana-Champaign)
BibTeX Citation
@article{bindschaedler_vldb17,
title = {{Plausible Deniability for Privacy-Preserving Data Synthesis}},
author = {Bindschaedler, Vincent and Shokri, Reza and Gunter, Carl A.},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {5},
pages = {481},
doi = {10.14778/3055540.3055542},
url = {https://doi.org/10.14778/3055540.3055542},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,540 | Data Synthesis via Differentially Private Markov Random Fields | 2021 | VLDB | 8.3030691e-05 |
| 2,917 | AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data | 2022 | VLDB | 7.8530527e-05 |
| 4,964 | PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy | 2023 | SIGMOD | 6.3234288e-05 |
| 9,929 | HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data | 2022 | VLDB | 5.0966022e-05 |
| 10,544 | HeteroFedSyn: Differentially Private Tabular Data Synthesis for Heterogeneous Federated Settings | 2026 | SIGMOD | 4.9605343e-05 |
| 10,622 | Benchmarking Differentially Private Tabular Data Synthesis: [Experiments & Analysis] | 2026 | SIGMOD | 4.9605343e-05 |
| 11,261 | PrivPetal: Relational Data Synthesis via Permutation Relations | 2025 | SIGMOD | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 106 | Quickly Generating Billion-Record Synthetic Databases | 1994 | SIGMOD | 0.00033563032 |
| 347 | Generalizing Data to Provide Anonymity when Disclosing Information | 1998 | PODS | 0.00020249479 |
| 1,160 | PrivBayes: Private Data Release via Bayesian Networks | 2014 | SIGMOD | 0.00011733273 |
| 1,256 | No Free Lunch in Data Privacy | 2011 | SIGMOD | 0.00011304781 |
| 1,607 | Simple and Realistic Data Generation | 2006 | VLDB | 0.00010078023 |
| 2,925 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB | 7.8390031e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,999 | DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing | 2014 | VLDB |
| 2 | 4,348 | Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration | 2020 | VLDB |
| 3 | 2,540 | Data Synthesis via Differentially Private Markov Random Fields | 2021 | VLDB |
| 4 | 8,117 | PSynDB: Accurate and Accessible Private Data Generation | 2019 | VLDB |
| 5 | 11,160 | Private Synthetic Data Generation in Bounded Memory | 2025 | PODS |
| 6 | 10,622 | Benchmarking Differentially Private Tabular Data Synthesis: [Experiments & Analysis] | 2026 | SIGMOD |
| 7 | 8,711 | Synthetic Tabular Data: Methods, Attacks and Defenses | 2025 | VLDB |
| 8 | 2,180 | Data Synthesis based on Generative Adversarial Networks | 2018 | VLDB |
| 9 | 11,536 | Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections | 2024 | PODS |
| 10 | 8,103 | Differentially Private Data Generation with Missing Data | 2024 | VLDB |