Project Areas

E4 – Compiler for Privacy-Preserving Protocols

Collecting data and extracting information from data has enormous potential for many areas like healthcare and business development. However, it is important to protect the privacy of citizens and business owners, e.g., to prevent discrimination and mass surveillance. The overall goal of E4 is to privately process sensitive data in real-world applications. For this, we design scalable privacy-preserving protocols with focus on secure multi-party computation (MPC). Furthermore, we build tools to automatically generate efficient privacy-preserving protocols. We showcase our scalable protocols and tools on large-scale applications such as private federated learning and distributed private simulations of infection spreads.