Support of Learning, Security and Privacy
Forskningsprojekt , 2015 – 2016

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.


Aikaterini Mitrokotsa (kontakt)

Biträdande professor vid Chalmers, Data- och informationsteknik, Nätverk och system


Intel Corporation

Finansierar Chalmers deltagande under 2015

Relaterade styrkeområden och infrastruktur

Informations- och kommunikationsteknik


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