3 papers
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…
cs.IT2025
Necessity of Block Designs for Optimal Locally Private Distribution Estimation
Abigail Gentle
Local differential privacy represents the gold standard for preserving the privacy of data before it leaves the device, and distribution estimation under this model has been well s…
cs.CR2025
Lightweight Protocols for Distributed Private Quantile Estimation
Anders Aamand, Fabrizio Boninsegna, Abigail Gentle +2
Distributed data analysis is a large and growing field driven by a massive proliferation of user devices, and by privacy concerns surrounding the centralised storage of data. We co…