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Are the recently developed models in generative machine learning suited to produce differentially private microdata that for researchers in the Social Sciences? We will move in two directions. One, do generative models preserve the privacy of persons in the underlying data? Two, what are computationally efficient ways to generate synthetic data from large population-wide tabular data?
