Skip to content

FoSuCloud/awesome-data-synthesis

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 

Repository files navigation

Awesome Data Synthetic Awesome

A list of resources releated to data synthetic.

Papers

Evaluation and Survey

  • Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration, VLDB 2020,[ paper ]

  • Empirical evaluation on synthetic data generation with generative adversarial network, WIMS 2019,[ paper ]

  • Effective and Privacy Preserving Tabular Data Synthesizing, 2021,[ paper ]

  • Holdout-Based Fidelity and Privacy Assessment of Mixed-Type Synthetic Data, 2021,[ paper ]

  • Synthetic Data--A Privacy Mirage, 2020,[ paper ]

  • On the Generation and Evaluation of Tabular Data Using GANs, 2019,[ paper ]

GAN-based Method

  • Data synthesis based on generative adversarial networks, PVLDB 2018,[ paper ]

  • Faketables: Using gans to generate functional dependency preserving tables with bounded real data, IJCAI 2019,[ paper ]

  • Modeling Tabular Data using Conditional GAN, NeurIPS 2019,[ paper ]

  • Synthesizing tabular data using generative adversarial networks CoRR 2018,[ paper ]

  • OCT-GAN: Neural ODE-based conditional tabular GANs, WWW 2021,[ paper ]

  • Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning, 2021,[ paper ]

  • PATE-GAN: Generating synthetic data with differential privacy guarantees, ICLR 2018,[ paper ]

  • Gs-wgan: A gradient-sanitized approach for learning differentially private generators, NeurIPS 2020,[ paper ]

  • Differentially private generative adversarial network, 2018,[ paper ]

  • DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges, 2021,[ paper ]

  • DTGAN: Differential Private Training for Tabular GANs, 2021,[ paper ]

  • Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks, 2021,[ paper ]

  • Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data, 2021,[ paper ]

  • Winning the NIST Contest: A scalable and general approach to differentially private synthetic data, 2021,[ paper ]

  • Kamino: Constraint-Aware Differentially Private Data Synthesis, 2020,[ paper ]

  • Causally Constrained Data Synthesis for Private Data Release, 2021,[ paper ]

  • CTAB-GAN: Effective Table Data Synthesizing, 2021,[ paper ]

  • SDV: an open source library for synthetic data generation, 2018,[ paper ]

Statistical Method

  • Privbayes: private data release via bayesian networks, SIGMOD 2014,[ paper ]

  • Privbayes: private data release via bayesian networks, 2017,[ paper ]

Variational Autoencoder Method

Application

  • Generating multi-label discrete patient records using generative adversarial networks, PMLR 2017,[ paper ]

  • Synthesizing electronic health records using improved generative adversarial networks, JAMIA 2019,[ paper ]

  • CorGAN: Correlation-capturing convolutional generative adversarial networks for generating synthetic healthcare records, 2020,[ paper ]

Code

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published