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1 Ergebnisse
1
Guarding Against Universal Adversarial Perturbations in Dat..:
, In:
2022 IEEE International Conference on Cloud Engineering (IC2E)
,
Zhou, Xingyu
;
Canady, Robert
;
Li, Yi
... - p. 233-244 , 2022
Link:
https://doi.org/10.1109/IC2E55432.2022.00032
RT T1 <cTitle>2022 IEEE International Conference on Cloud Engineering (IC2E)</cTitle>: T1 <Title>Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9946245&Exemplar=1&LAN=DE A1 Zhou, Xingyu A1 Canady, Robert A1 Li, Yi A1 Bao, Shunxing A1 Barve, Yogesh A1 Balasubramanian, Daniel A1 Gokhale, Aniruddha YR 2022 K1 Quantization (signal) K1 Perturbation methods K1 Computational modeling K1 Machine learning K1 Robustness K1 Complexity theory K1 Adversarial machine learning K1 universal perturbation K1 edge computing K1 quantization K1 hardware acceleration SP 233 OP 244 LK http://dx.doi.org/https://doi.org/10.1109/IC2E55432.2022.00032 DO https://doi.org/10.1109/IC2E55432.2022.00032 SF ELIB - SuUB Bremen
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