Synthetic data generation refers to cases where one wishes to generate new data based on some other data's distribution and characteristics, e.g. with the purpose of creating larger datasets for testing. We assume that the original data used to generate synthetic data is sensitive. Else, it is immediately possible to synthesize data without employing some PET to protect the original data from potential reconstruction by using the synthetic data.