We propose new differential privacy solutions for when external
invarian...
Differentially private mechanisms protect privacy by introducing additio...
We introduce a new method for updating subjective beliefs based on Jeffr...
Many data applications have certain invariant constraints due to practic...
Differentially private data releases are often required to satisfy a set...
Differential privacy revolutionizes the way we think about statistical
d...
The discrepant posterior phenomenon (DPP) is a counterintuitive phenomen...
We present a Gibbs sampler to implement the Dempster-Shafer (DS) theory ...
Differential privacy protects individuals' confidential information by
s...
I propose a novel approach to simultaneous inference that alleviates the...
Statistical learning using imprecise probabilities is gaining more atten...