Generate synthetic samples from tabular data

David Banh; Alan Huang

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arXiv · 2209.06113

Generate synthetic samples from tabular data

David Banh·Alan Huang

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Abstract

Generating new samples from data sets can mitigate extra expensive operations, increased invasive procedures, and mitigate privacy issues. These novel samples that are statistically robust can be used as a temporary and intermediate replacement when privacy is a concern. This method can enable better data sharing practices without problems relating to identification issues or biases that are flaws for an adversarial attack.

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David Banh, Alan Huang. 2022-09-12. Generate synthetic samples from tabular data. https://arxiv.org/abs/2209.06113

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