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.

Participants

Aikaterini Mitrokotsa (contact)

Docent vid Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Funding

Intel Corporation

Funding years 2015

Related Areas of Advance and Infrastructure

Information and Communication Technology

Areas of Advance

More information

Latest update

2015-11-28