Privacy-preserving gaussian process regression - a modular approach to the application of homomorphic encryption
- AAAI 2020
Dr Peter Fenner joined IBM Research as a Postdoctoral Research Scientist in 2018 and is part of the IBM Research presence at Science and Technology Facilities Council's (STFC) Daresbury Laboratory. His current research focuses on the problem of privacy in multi-party machine learning situations, and in particular the application of homomorphic encryption to solve this problem.
Peter recieved his PhD in Mathematics from the University of Manchester in 2018. His thesis focused on Boolean matrix semigroups and various algorithmic and computational problems within these monoids.