In this paper, we study the concurrent composition of interactive mechan...
The surge in multimodal AI's success has sparked concerns over data priv...
Motivated by privacy concerns in long-term longitudinal studies in medic...
Bayesian inference provides a principled framework for learning from com...
We study the concurrent composition properties of interactive differenti...
The sequential hypothesis testing problem is a class of statistical anal...
In many real-world problems of real-time monitoring high-dimensional
str...
Ensuring the privacy of training data is a growing concern since many ma...
Multi-party machine learning allows several parties to build a joint mod...
In hypothesis testing, a false discovery occurs when a hypothesis is
inc...
The change-point detection problem seeks to identify distributional chan...
The change-point detection problem seeks to identify distributional chan...