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math.ST2023
A Bias-Accuracy-Privacy Trilemma for Statistical Estimation
Gautam Kamath, Argyris Mouzakis, Matthew Regehr +3
Differential privacy (DP) is a rigorous notion of data privacy, used for private statistics. The canonical algorithm for differentially private mean estimation is to first clip the…
math.ST2019★ 22 cited
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Mark Bun, Thomas Steinke
The simplest and most widely applied method for guaranteeing differential privacy is to add instance-independent noise to a statistic of interest that is scaled to its global sensi…