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1 Ergebnisse
1
DeepSniffer : A DNN Model Extraction Framework Based on ..:
, In:
Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems
,
Hu, Xing
;
Liang, Ling
;
Li, Shuangchen
... - p. 385-399 , 2020
Link:
https://dl.acm.org/doi/10.1145/3373376.3378460
RT T1 <cTitle>Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems</cTitle>: T1 <Title>DeepSniffer : A DNN Model Extraction Framework Based on Learning Architectural Hints</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3378460&Exemplar=1&LAN=DE A1 Hu, Xing A1 Liang, Ling A1 Li, Shuangchen A1 Deng, Lei A1 Zuo, Pengfei A1 Ji, Yu A1 Xie, Xinfeng A1 Ding, Yufei A1 Liu, Chang A1 Sherwood, Timothy A1 Xie, Yuan PB ACM YR 2020 K1 deep learning security K1 domain-specific architecture K1 machine learning K1 Computer systems organization K1 Architectures K1 Security and privacy K1 Software and application security K1 Domain-specific security and privacy architectures K1 Computing methodologies K1 Machine learning SP 385 OP 399 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3373376.3378460 DO https://dl.acm.org/doi/10.1145/3373376.3378460 SF ELIB - SuUB Bremen
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