Abstract: I will introduce privacy work of FCAI research program in Privacy-preserving and secure AI. Our goal is to develop methods that allow learning from data under strong differential privacy guarantees. These enable setting strict limits on how much an adversary can learn about an individual contributing to a data set from the outcome of a computation using that data set. After a general overview, I will discuss differentially private data anonymisation.

Speaker: Antti Honkela

Affiliation: Associate Professor, Department of Computer Science, University of Helsinki

Place of Seminar: Lecture Hall Exactum D122, University of Helsinki