13 citations · 22 across the 2 of their papers we have counts for
3 papers
math.ST2020★ 13 cited
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms
Thomas B. Berrett, Cristina Butucea
We find separation rates for testing multinomial or more general discrete distributions under the constraint of local differential privacy. We construct efficient randomized algori…
math.ST2019★ 9 cited
Classification under local differential privacy
Thomas Berrett, Cristina Butucea
We consider the binary classification problem in a setup that preserves the privacy of the original sample. We provide a privacy mechanism that is locally differentially private an…
stat.ME2017
Nonparametric independence testing via mutual information
Thomas B. Berrett, Richard J. Samworth
We propose a test of independence of two multivariate random vectors, given a sample from the underlying population. Our approach, which we call MINT, is based on the estimation of…