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MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference (Extended Abstract)

Boemer, Fabian and Cammarota, Rosario and Demmler, Daniel and Schneider, Thomas and Yalame, Mohammad Hossein (2020):
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference (Extended Abstract).
ACM, In: Privacy Preserving Machine Learning in Practice (PPMLP'20) – CCS 2020 Workshop, Orlando, USA, 09.-13.11., [Online-Edition: https://sci-workshops.alipay.com/CCS2020],
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Boemer, Fabian and Cammarota, Rosario and Demmler, Daniel and Schneider, Thomas and Yalame, Mohammad Hossein
Title: MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference (Extended Abstract)
Language: English
Publisher: ACM
Uncontrolled Keywords: Engineering; E4
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Cryptography and Privacy Engineering (ENCRYPTO)
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 2050 Privacy and Trust for Mobile Users
Profile Areas
Profile Areas > Cybersecurity (CYSEC)
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1119: CROSSING – Cryptography-Based Security Solutions: Enabling Trust in New and Next Generation Computing Environments
Event Title: Privacy Preserving Machine Learning in Practice (PPMLP'20) – CCS 2020 Workshop
Event Location: Orlando, USA
Event Dates: 09.-13.11.
Date Deposited: 25 Aug 2020 07:18
Official URL: https://sci-workshops.alipay.com/CCS2020
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