Generate novel and robust samples from data: accessible sharing without privacy concerns. (arXiv:2209.06113v1 [cs.LG])

Web: http://arxiv.org/abs/2209.06113

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.

data privacy sharing