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1 Ergebnisse
1
OATGA: Optimizing Adversarial Training via Genetic Algorith..:
, In:
GLOBECOM 2023 - 2023 IEEE Global Communications Conference
,
Bao, Zhida
;
He, Jiawei
;
Zhang, Quanjun
... - p. 6073-6078 , 2023
Link:
https://doi.org/10.1109/GLOBECOM54140.2023.10437810
RT T1 <cTitle>GLOBECOM 2023 - 2023 IEEE Global Communications Conference</cTitle>: T1 <Title>OATGA: Optimizing Adversarial Training via Genetic Algorithm for Automatic Modulation Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10437810&Exemplar=1&LAN=DE A1 Bao, Zhida A1 He, Jiawei A1 Zhang, Quanjun A1 Fang, Chunrong A1 Sood, Keshav A1 Lin, Yun YR 2023 SN 2576-6813 K1 Training K1 Deep learning K1 Neural networks K1 Modulation K1 Robustness K1 Sensors K1 Genetic algorithms K1 Adversarial training K1 genetic algorithm K1 adversarial examples K1 automatic modulation classification K1 wireless security SP 6073 OP 6078 LK http://dx.doi.org/https://doi.org/10.1109/GLOBECOM54140.2023.10437810 DO https://doi.org/10.1109/GLOBECOM54140.2023.10437810 SF ELIB - SuUB Bremen
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