Back to papers
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
- 11602
- Venue
- VLDB
- Year
- 2018
- Pagerank
- 8.8514021e-05
- Overall Rank
- 2,421 | 83.16%
- DOI
-
10.14778/3231751.3231757
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 16 of 16 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 4,884 |
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration |
2020 |
VLDB |
5.8540287e-05 |
| 5,028 |
Adaptive Data Augmentation for Supervised Learning over Missing Data |
2021 |
VLDB |
5.7506746e-05 |
| 5,349 |
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy |
2023 |
SIGMOD |
5.553869e-05 |
| 5,942 |
SAM: Database Generation from Query Workloads with Supervised Autoregressive Models |
2022 |
SIGMOD |
5.2634242e-05 |
| 6,879 |
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data |
2023 |
SIGMOD |
4.8971368e-05 |
| 8,523 |
Controllable Tabular Data Synthesis Using Diffusion Models |
2024 |
SIGMOD |
4.4937074e-05 |
| 8,699 |
Supporting Database Constraints in Synthetic Data Generation based on Generative Adversarial Networks |
2020 |
SIGMOD |
4.465684e-05 |
| 8,985 |
TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications |
2023 |
VLDB |
4.4156106e-05 |
| 9,006 |
Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems |
2024 |
VLDB |
4.4101482e-05 |
| 9,777 |
Data Augmentation for ML-driven Data Preparation and Integration |
2021 |
VLDB |
4.2856106e-05 |
| 9,852 |
Machine Unlearning in Learned Databases: An Experimental Analysis |
2024 |
SIGMOD |
4.2714575e-05 |
| 10,128 |
WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,500 |
PrivPetal: Relational Data Synthesis via Permutation Relations |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,798 |
PrivEval: a tool for interactive evaluation of privacy metrics in synthetic data generation |
2025 |
VLDB |
4.1945683e-05 |
| 11,143 |
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms |
2024 |
VLDB |
4.1945683e-05 |
| 11,194 |
A Step Toward Deep Online Aggregation |
2023 |
SIGMOD |
4.1945683e-05 |
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.
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 7,502 |
PSynDB: Accurate and Accessible Private Data Generation |
2019 |
VLDB |
4.7180617e-05 |
| 3,381 |
Privacy-preserving Anonymization of Set-valued Data |
2008 |
VLDB |
7.1604078e-05 |
| 3,831 |
Kamino: Constraint-Aware Differentially Private Data Synthesis |
2021 |
VLDB |
6.7181688e-05 |
| 12,312 |
Anonymized Data: Generation, Models, Usage |
2009 |
SIGMOD |
4.1945683e-05 |
| 7,485 |
Differentially Private Data Generation with Missing Data |
2024 |
VLDB |
4.7180617e-05 |
| 10,053 |
Benchmarking Differentially Private Tabular Data Synthesis: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1945683e-05 |
| 3,304 |
Plausible Deniability for Privacy-Preserving Data Synthesis |
2017 |
VLDB |
7.2467347e-05 |
| 8,699 |
Supporting Database Constraints in Synthetic Data Generation based on Generative Adversarial Networks |
2020 |
SIGMOD |
4.465684e-05 |
| 8,280 |
Synthetic Tabular Data: Methods, Attacks and Defenses |
2025 |
VLDB |
4.5435639e-05 |
| 4,884 |
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration |
2020 |
VLDB |
5.8540287e-05 |