2 papers
cs.DS2026
Not All Learnable Distribution Classes are Privately Learnable
Mark Bun, Gautam Kamath, Argyris Mouzakis +1
We give an example of a class of distributions that is learnable up to constant error in total variation distance with a finite number of samples, but not learnable under $(\vareps…
cs.DS2025
Uniformity Testing under User-Level Local Privacy
Clément L. Canonne, Abigail Gentle, Vikrant Singhal
We initiate the study of distribution testing under \emph{user-level} local differential privacy, where each of users contributes samples from the unknown underlying distri…