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.

Thomas Schneider is program committee member of WPES'20.

Thomas Schneider is program committee member of ACM CCSW'20.

Amos Treiber will give a contributed talk on “CryptoSPN: Privacy-preserving Machine Learning beyond Neural Networks” at TPMPC'20

Thomas Schneider is program committee member of NDSS'21.