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1 Ergebnisse
1
GINN : Fast GPU-TEE Based Integrity for Neural Network T..:
, In:
Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy
,
Asvadishirehjini, Aref
;
Kantarcioglu, Murat
;
Malin, Bradley
- p. 4-15 , 2022
Link:
https://dl.acm.org/doi/10.1145/3508398.3511503
RT T1 <cTitle>Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy</cTitle>: T1 <Title>GINN : Fast GPU-TEE Based Integrity for Neural Network Training</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3511503&Exemplar=1&LAN=DE A1 Asvadishirehjini, Aref A1 Kantarcioglu, Murat A1 Malin, Bradley PB ACM YR 2022 K1 deep learning K1 integrity preserving deep learning training K1 intel sgx K1 trusted exexution environments K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Classification and regression trees K1 Security and privacy K1 Security in hardware K1 Hardware security implementation SP 4 OP 15 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3508398.3511503 DO https://dl.acm.org/doi/10.1145/3508398.3511503 SF ELIB - SuUB Bremen
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