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Number of items: 4.

Boemer, Fabian ; Cammarota, Rosario ; Demmler, Daniel ; Schneider, Thomas ; Yalame, Mohammad Hossein (2020):
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference (Extended Abstract).
ACM, Privacy Preserving Machine Learning in Practice (PPMLP'20) – CCS 2020 Workshop, Orlando, USA, 09.-13.11., [Conference or Workshop Item]

Boemer, Fabian ; Cammarota, Rosario ; Demmler, Daniel ; Schneider, Thomas ; Yalame, Mohammad Hossein (2020):
MP2ML: A mixed-protocol machine learning framework for private inference.
15th International Conference on Availability, Reliability and Security (ARES'20), virtual Conference, 25.-28.08, [Conference or Workshop Item]

Cammarota, Rosario ; Schunter, Matthias ; Rajan, Anand ; Boemer, Fabian ; Kiss, Ágnes ; Treiber, Amos ; Weinert, Christian ; Schneider, Thomas ; Stapf, Emmanuel ; Sadeghi, Ahmad-Reza ; Demmler, Daniel ; Chen, Huili ; Hussain, Siam Umar ; Riazi, M. Sadegh ; Koushanfar, Farinaz ; Gupta, Saransh ; Rosing, Tajan Simunic ; Chaudhuri, Kamalika ; Nejatollahi, Hamid ; Dutt, Nikil ; Imani, Mohsen ; Laine, Kim ; Dubey, Anuj ; Aysu, Aydin ; Sadat Hosseini, Fateme ; Yang, Chengmo ; Wallace, Eric ; Norton, Pamela (2020):
Trustworthy AI Inference Systems: An Industry Research View.
In: Cryptography and Security, (Preprint), Version 1, arXiv, 2008.04449, [Report]

Boemer, Fabian ; Cammarota, Rosario ; Demmler, Daniel ; Schneider, Thomas ; Yalame, Mohammad Hossein (2020):
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference (Contributed Talk).
The 2nd Privacy-Preserving Machine Learning Workshop, virtual Conference, 16.08.2020, [Conference or Workshop Item]

This list was generated on Tue May 24 03:57:48 2022 CEST.