Support of Learning, Security and Privacy (Intel)

In this project, we focus on developing an interdisciplinary course on statistics, cryptography, machine learning, security and privacy. The main objective of the course will be to provide a principled development of privacy and security with strong statistical and cryptographic foundations. For this reason, we shall cover cryptographic techniques for achieving privacy, such as secure multi-party computation, but also cover the emerging area of differential privacy, with significant applications and impact in databases, crowdsourcing and other recently developed areas.

Start date 01/01/2015
End date The project is closed: 31/12/2016

Published: Thu 31 May 2018.