Ágnes Kiss successfully defended her dissertation “Efficient Private Function Evaluation” on Fri., 25th September 2020.

Our NDSS’21 paper “All the Numbers are US: Large-scale Abuse of Contact Discovery in Mobile Messengers” is featured in the news!

“RiCaSi: Rigorous Cache Side channel mitigation via selective circuit compilation” by Heiko Mantel, Lukas Scheidel, Thomas Schneider, Alexandra Weber, Christian Weinert, and Tim Weißmantel was accepted at CANS'20.

One Keynote and two papers of the ENCRYPTO will be presented at the PPMLP – CCS 2020 Workshop.

Together with Intel Labs, the ENCRYPTO group published a technical report on “Trustworthy AI Inference Systems: An Industry Research View”.

Amos Treiber and Hossein Yalame will each give a contributed talk at PPML@CRYPTO'20.

“All the Numbers are US: Large-scale Abuse of Contact Discovery in Mobile Messengers” by Christoph Hagen, Christian Weinert, Christoph Sendner, Alexandra Dmitrienko, and Thomas Schneider was accepted at NDSS'21.

“Linear-complexity private function evaluation is practical” by Marco Holz, Ágnes Kiss, Deevashwer Rathee, and Thomas Schneider was accepted at ESORICS'20.

Watch our explanatory video on private set intersection (PSI) with applications to privacy-preserving mobile contact discovery.

“MP2ML: A mixed-protocol machine learning framework for private inference” by Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, and Hossein Yalame was accepted at ARES'20.