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.
Docent vid Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)
Funding Chalmers participation during 2015 with 292,922.00 SEK
Areas of Advance