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Engineering Privacy-Preserving Machine Learning Protocols

Schneider, Thomas (2020):
Engineering Privacy-Preserving Machine Learning Protocols.
In: 2020 Workshop on Privacy-Preserving Machine Learning in Practice (PPMLP’20), virtual Conference, 09.11., [Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Schneider, Thomas
Title: Engineering Privacy-Preserving Machine Learning Protocols
Language: English
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: 2020 Workshop on Privacy-Preserving Machine Learning in Practice (PPMLP’20)
Event Location: virtual Conference
Event Dates: 09.11.
Date Deposited: 05 Oct 2020 07:17
Additional Information:

Privacy Preserving Machine Learning in Practice (PPMLP'20) – CCS 2020 Workshop; Invited talk at the Workshop

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