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Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications

Riazi, M. Sadegh and Weinert, Christian and Tkachenko, Oleksandr and Songhori, Ebrahim M. and Schneider, Thomas and Koushanfar, Farinaz (2018):
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications.
In: 13. ACM Asia Conference on Information, Computer and Communications Security (ASIACCS'18), ACM, DOI: 10.1145/3196494.3196522, [Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Riazi, M. Sadegh and Weinert, Christian and Tkachenko, Oleksandr and Songhori, Ebrahim M. and Schneider, Thomas and Koushanfar, Farinaz
Title: Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications
Language: English
Title of Book: 13. ACM Asia Conference on Information, Computer and Communications Security (ASIACCS'18)
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
Profile Areas
Profile Areas > Cybersecurity (CYSEC)
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy
20 Department of Computer Science > EC SPRIDE
20 Department of Computer Science > EC SPRIDE > Engineering Cryptographic Protocols (am 01.03.2018 in Cryptography and Privacy Engineering)
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
Date Deposited: 05 Mar 2018 21:51
DOI: 10.1145/3196494.3196522
Identification Number: TUD-CS-2018-0049
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