Thomas Schneider will give a keynote on “Engineering Privacy-Preserving Machine Learning Protocols (opens in new tab)” at the Privacy-preserving Machine Learning in Practice (PPMLP) – CCS 2020 Workshop.

Additionally the following papers were accepted and will be presented at the workshop:

• “CryptoSPN: Expanding PPML beyond Neural Networks (opens in new tab)” by Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, and Kristian Kersting.
• “MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference (Extended Abstract) (opens in new tab)” by Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, and Hossein Yalame.

The workshop will take place online on Mon, November 9th, 2020.