Project Areas
E – Engineering

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.

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Privacy-preserving Mobile Contact Discovery with Private Set Intersection

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Principal Investigators

  Name Working area(s) Contact
Prof. Thomas Schneider
Cryptography and Privacy Engineering
E4, E7
+49 6151 16-27300
S2|20 208

Researchers

  Name Contact
Gowri Chandran
Cryptography and Privacy Engineering
+49 6151 16-27302
S2|20 211
Daniel Günther
Cryptography and Privacy Engineering
+49 6151 16-27301
S2|20 211
Tobias Kussel
Computational Biology and Simulation Group
+49 6151 16-20374
B1|08 202B
Helen Möllering
Cryptography and Privacy Engineering
+49 6151 16-27301
S2|20 210
Raine Nieminen
Cryptography and Privacy Engineering
27302
S2|20 211
Amos Treiber
Cryptography and Privacy Engineering
+49 6151 16-27303
S2|20 213
Hossein Yalame
Cryptography and Privacy Engineering
+49 6151 16-27301
S2|20 210

Affiliated Researchers

  Name Contact
Dr. Ajith Suresh
Cryptography and Privacy Engineering
+49 6151 16-27302
S2|20 210

Publications

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