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1
SymDNN: Simple & Effective Adversarial Robustness for Embed..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
,
Dey, Swarnava
;
Dasgupta, Pallab
;
Chakrabarti, Partha P
- p. 3598-3608 , 2022
Link:
https://doi.org/10.1109/CVPRW56347.2022.00404
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</cTitle>: T1 <Title>SymDNN: Simple & Effective Adversarial Robustness for Embedded Systems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9857054&Exemplar=1&LAN=DE A1 Dey, Swarnava A1 Dasgupta, Pallab A1 Chakrabarti, Partha P YR 2022 SN 2160-7516 K1 Computer vision K1 Adaptation models K1 Visualization K1 Embedded systems K1 Computational modeling K1 Symbols K1 Transforms SP 3598 OP 3608 LK http://dx.doi.org/https://doi.org/10.1109/CVPRW56347.2022.00404 DO https://doi.org/10.1109/CVPRW56347.2022.00404 SF ELIB - SuUB Bremen
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