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Data Synthesis based on Generative Adversarial Networks

Summary: table-GAN synthesizes tabular data with GANs, preserving distribution while avoiding leakage. It shows model compatibility: synthetic data enables models to approach real-data performance, beating anonymization/perturbation across four real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hfca855be0cd738ec
Venue
VLDB
Year
2018
Pagerank
8.933677e-05
Overall Rank
2,165 | 85.45%
DOI
10.14778/3231751.3231757

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{park_vldb18,
        title = {{Data Synthesis based on Generative Adversarial Networks}},
        author = {Park, Noseong and Mohammadi, Mahmoud and Gorde, Kshitij and Jajodia, Sushil and Park, Hongkyu and Kim, Youngmin},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {10},
        pages = {1071--1083},
        doi = {10.14778/3231751.3231757},
        url = {https://doi.org/10.14778/3231751.3231757},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

Rank Citing Paper Year Venue Pagerank
4,329 Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration 2020 VLDB 6.6597797e-05
4,944 PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy 2023 SIGMOD 6.3439252e-05
4,953 Adaptive Data Augmentation for Supervised Learning over Missing Data 2021 VLDB 6.3416889e-05
5,209 SAM: Database Generation from Query Workloads with Supervised Autoregressive Models 2022 SIGMOD 6.2262056e-05
5,716 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 6.0194657e-05
6,680 Controllable Tabular Data Synthesis Using Diffusion Models 2024 SIGMOD 5.7104433e-05
8,026 TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications 2023 VLDB 5.4045222e-05
8,947 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 5.2532248e-05
8,969 Supporting Database Constraints in Synthetic Data Generation based on Generative Adversarial Networks 2020 SIGMOD 5.2467999e-05
9,133 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.2229655e-05
9,575 A Step Toward Deep Online Aggregation 2023 SIGMOD 5.1571823e-05
10,112 Data Augmentation for ML-driven Data Preparation and Integration 2021 VLDB 5.0789354e-05
10,607 WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models 2026 SIGMOD 4.9793485e-05
11,193 PrivPetal: Relational Data Synthesis via Permutation Relations 2025 SIGMOD 4.9793485e-05
11,391 PrivEval: a tool for interactive evaluation of privacy metrics in synthetic data generation 2025 VLDB 4.9793485e-05
11,667 DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms 2024 VLDB 4.9793485e-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
68 Privacy-Preserving Data Mining 2000 SIGMOD 0.00037958605
254 On the Design and Quantification of Privacy Preserving Data Mining Algorithms 2001 PODS 0.00023020039
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