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.

“Secure two-party computation in a post-quantum world” by Niklas Büscher, Daniel Demmler, Nikolaos P. Karvelas, Stefan Katzenbeisser, Juliane Krämer, Deevashwer Rathee, Thomas Schneider, and Patrick Struck was accepted at 18. International Conference on Applied Cryptography and Network Security (ACNS'20).

Why do we need and how to enable privacy-preserving face recognition? Thomas Schneider gives an answer in the new hr-info podcast.

“Small Constant Mean-Error Imprecise Adder/Multiplier for Efficient VLSI Implementation of MAC-based Applications” by Mohammad Javadi, Hossein Yalame, and Hamid Reza Mahdiani was accepted at Transactions on Computers .

“CryptoSPN: Privacy-preserving Sum-Product Network Inference” by Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, and Kristian Kersting was accepted at ECAI'20.

“Efficient and Scalable Universal Circuits” by Masaud Y. Alhassan, Daniel Günther, Ágnes Kiss, and Thomas Schneider was accepted at Journal of Cryptology.

The ENCRYPTO group was awarded by Intel Corporation for our research in the area of “Secure and Privacy Preserving AI Frameworks and Run-Times for Data Scientists and Service Providers”.

“Privacy-preserving PLDA speaker verification using outsourced secure computation” by Amos Treiber, Andreas Nautsch, Jascha Kolberg, Thomas Schneider, and Christoph Busch was accepted at Speech Communication.