Utility Assessment of Synthetic Data Generation Methods. (arXiv:2211.14428v1 [cs.LG])

Big data analysis poses the dual problem of privacy preservation and utility,
i.e., how accurate data analyses remain after transforming original data in
order to protect the privacy of the individuals that the data is about - and
whether they are accurate enough to be meaningful. In this paper, we thus
investigate across several datasets whether different methods of generating
fully synthetic data vary in their utility a priori (when the specific analyses
to be performed on the data are …

assessment data synthetic data utility