Thomas Schneider will give a keynote on “Engineering Privacy-Preserving Machine Learning Protocols” 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” by Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, and Kristian Kersting.
- “MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference (Extended Abstract)” by Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, and Hossein Yalame.
The workshop will take place online on Mon, November 9th, 2020.