Clément Canonne

About

Clément Canonne is a Lecturer at the University of Sydney, Australia. His research focuses on differential privacy, distribution testing, and information constraints, as reflected in his recent publications. Notable works include "Tight Bounds for Machine Unlearning via Differential Privacy" and "Optimal Rates for Nonparametric Density Estimation Under Communication Constraints." He is dedicated to advancing the field through innovative methodologies and rigorous analysis.