Generate novel and robust samples from data: accessible sharing without privacy concerns

09/12/2022

∙

by   David Banh, et al.

∙

0

∙

share

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.