Fidelity-agnostic synthetic data generation improves utility while retaining privacy
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Synthetic data are a popular method to publish useful datasets in a privacy-aware manner, making them useful across a range of scientific domains involving human subjects. They are typically generated by sampling from algorithms that mimic the probability dist... ...
