Differentially Private Learning of Exponential Distributions: Simple Algorithms and Tight Bounds

Bar Mahpud, Or Sheffet

We study the problem of learning exponential distributions under differential privacy. Given $n$ i.i.d.\ samples from $\mathrm{Exp}(\hat{I}»)$, the goal is to privately estimate $\hat{I}»$ so…