Disputation of Ágnes Kiss
Ágnes Kiss successfully defended her dissertation “Efficient Private Function Evaluation” on Fri., 25th September 2020.
Attacks on WhatsApp, Signal, and Telegram in the News
Our NDSS’21 paper “All the Numbers are US: Large-scale Abuse of Contact Discovery in Mobile Messengers” is featured in the news!
Paper accepted at CANS 2020
“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.
Keynote and two Papers at PPMLP@CCS 2020
One Keynote and two papers of the ENCRYPTO will be presented at the PPMLP – CCS 2020 Workshop.
Technical Report on Trustworthy AI Systems
Together with Intel Labs, the ENCRYPTO group published a technical report on “Trustworthy AI Inference Systems: An Industry Research View”.
Two Contributed Talks at PPML@CRYPTO 2020
Amos Treiber and Hossein Yalame will each give a contributed talk at PPML@CRYPTO'20.
Paper accepted at NDSS 2021
“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.
Paper accepted at ESORICS 2020
“Linear-complexity private function evaluation is practical” by Marco Holz, Ágnes Kiss, Deevashwer Rathee, and Thomas Schneider was accepted at ESORICS'20.
Explanatory Video on Private Set Intersection (PSI)
Watch our explanatory video on private set intersection (PSI) with applications to privacy-preserving mobile contact discovery.
Paper accepted at ARES 2020
“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.