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Generate synthetic samples from tabular data

2022-09-12Code Available0· sign in to hype

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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