Two Papers accepted at PPMLP@CCS 2020

2020/08/24

The following papers were accepted at the Privacy-preserving Machine Learning in Practice (PPMLP) – CCS 2020 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.