Michael Schlottke-Lakemper
I am computational scientist and professor at the Centre for Advanced Analytics and Predictive Sciences of the University of Augsburg, Germany, where I lead the High-Performance Scientific Computing Lab in the Faculty of Mathematics, Natural Sciences, and Materials Engineering. My research focus is on numerical methods for adaptive multi-physics simulations, research software engineering for high-performance computing, and scientific machine learning.
Session
Homomorphic encryption allows one to perform computations on encrypted data and obtain the
same result as with the original, unencrypted data. This makes it possible to securely
process sensitive data in untrusted compute environments. In this talk, we will demonstrate
how to easily set up and run homomorphically encrypted computations in Julia and show
which kind of operations are possible. We will present examples for secure algorithms and
discuss challenges and limitations in practice.