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Zhu, Yujin (author), Zhao, Z. (author), Birke, Robert (author), Chen, Lydia Y. (author)
Tabular data synthesis is an emerging approach to circumvent strict regulations on data privacy while discovering knowledge through big data. Although state-of-the-art AI-based tabular data synthesizers, e.g., table-GAN, CTGAN, TVAE, and CTAB-GAN, are effective at generating synthetic tabular data, their training is sensitive to column...
conference paper 2022