|Affiliation:||Aalto University, Finland|
|Date:||19th December (Michaelmas Term 2017)|
|Location:||Tony Hoare Room, Robert Hooke Building|
All kinds of previously local services are being moved to a cloud setting. While this is justified by the scalability and efficiency benefits of cloud-based services, it also raises new security and privacy challenges. Solving them by naive application of standard security/privacy techniques can conflict with other functional requirements. In this talk, I will outline some cloud-assisted services and the apparent conflicts that arise while trying to secure these services. Taking the case of cloud-assisted malware scanning as an example scenario, I will discuss the privacy concerns that arise and how we can address them effectively. I will then discuss a more general setting of using cloud-hosted machine learning models in a privacy-preserving manner.Find out more...