# Generate synthetic samples from tabular data

arXiv: https://arxiv.org/abs/2209.06113 · HTML: https://mlsanity.com/paper/2209.06113/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 9 references that are in the map.
- First posted on arXiv 12 Sep 2022.

## Abstract (arXiv)

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.