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

Hannah Keller and Helen Möllering were accepted to the iMentor Workshop@CCS'20.

“ABY2.0: Improved mixed-protocol secure two-party computation” by Arpita Patra, Thomas Schneider, Ajith Suresh, and Hossein Yalame was accepted at USENIX Security'21.

Ágnes Kiss is program committee member of PPML@NeurIPS'20.

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.