Multi-objective evolutionary GAN for tabular data synthesis

arXiv:2404.10176v1 Announce Type: new
Abstract: Synthetic data has a key role to play in data sharing by statistical agencies and other generators of statistical data products. Generative Adversarial Networks (GANs), typically applied to image synthesis, are also a promising method for tabular data synthesis. However, there are unique challenges in tabular data compared to images, eg tabular data may contain both continuous and discrete variables and conditional sampling, and, critically, the data should possess high utility and low disclosure risk …

arxiv cs.lg cs.ne data gan multi-objective synthesis tabular tabular data type