Empirical Differential Privacy
Paul Burchard, Anthony Daoud, Dotterrer, Dominic · arXiv (Cornell University) · 2019
We show how to achieve differential privacy with no or reduced added noise, based on the empirical noise in the data itself. Unlike previous works on noiseless privacy, the empirical viewpoint avoids making any explicit assumptions about the random process generating the data.