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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
8.9299807e-05
Overall Rank
2,167 | 85.44%
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 6.656734e-05
4,947 PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy 2023 SIGMOD 6.3409221e-05
4,955 Adaptive Data Augmentation for Supervised Learning over Missing Data 2021 VLDB 6.3386868e-05
5,211 SAM: Database Generation from Query Workloads with Supervised Autoregressive Models 2022 SIGMOD 6.2232582e-05
5,715 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 6.0178585e-05
6,684 Controllable Tabular Data Synthesis Using Diffusion Models 2024 SIGMOD 5.70774e-05
8,031 TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications 2023 VLDB 5.4019638e-05
8,952 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 5.2517414e-05
8,966 Supporting Database Constraints in Synthetic Data Generation based on Generative Adversarial Networks 2020 SIGMOD 5.2479767e-05
9,134 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.2223611e-05
9,583 A Step Toward Deep Online Aggregation 2023 SIGMOD 5.154741e-05
10,116 Data Augmentation for ML-driven Data Preparation and Integration 2021 VLDB 5.0765311e-05
10,618 WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models 2026 SIGMOD 4.9769913e-05
11,202 PrivPetal: Relational Data Synthesis via Permutation Relations 2025 SIGMOD 4.9769913e-05
11,397 PrivEval: a tool for interactive evaluation of privacy metrics in synthetic data generation 2025 VLDB 4.9769913e-05
11,673 DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms 2024 VLDB 4.9769913e-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
69 Privacy-Preserving Data Mining 2000 SIGMOD 0.00037940729
254 On the Design and Quantification of Privacy Preserving Data Mining Algorithms 2001 PODS 0.00023009248
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