Blättern nach Person
Ebene hoch |
Konferenzveröffentlichung
Braun, Lennart ; Cammarota, Rosario ; Schneider, Thomas (2021)
A Generic Hybrid 2PC Framework with Application to Private Inference of Unmodified Neural Networks (Extended Abstract).
Privacy in Machine Learning Workshop at 35th Conference on Neural Information Processing Systems. virtual Conference (06.12.2021-14.12.2021)
Konferenzveröffentlichung, Bibliographie
Boemer, Fabian ; Cammarota, Rosario ; Demmler, Daniel ; Schneider, Thomas ; Yalame, Hossein (2020)
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference.
CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security. virtual Conference (09.11.2020-13.11.2020)
doi: 10.1145/3411501.3419425
Konferenzveröffentlichung, Bibliographie
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 (25.08.2020-28.08.2020)
doi: 10.1145/3407023.3407045
Konferenzveröffentlichung, Bibliographie
Boemer, Fabian ; Cammarota, Rosario ; Demmler, Daniel ; Schneider, Thomas ; Yalame, Mohammad Hossein (2020)
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference.
2nd Privacy-Preserving Machine Learning Workshop at CRYPTO 2020. virtual Conference (16.08.2020-16.08.2020)
Konferenzveröffentlichung, Bibliographie
Report
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.
doi: 10.48550/arXiv.2008.04449
Report, Bibliographie