Practical and Accurate Local Edge Differentially Private Graph Algorithms

Whitepaper called Practical And Accurate Local Edge Differentially Private Graph Algorithms...

Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor

Estimating the density of a distribution from its samples is a fundamental problem in statistics. Hypothesis selection addresses the setting where, in addition to a sample set, we are given $n$ candidate distributions -- referred to as hypotheses -- and the goal is to determine which one best...