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1 Ergebnisse
1
Defense Against Adversarial Attacks via Adversarial Noise D..:
, In:
2023 International Conference on Networking and Network Applications (NaNA)
,
Li, Chengxuan
;
Yang, Zhou
;
Xiao, Yang
... - p. 520-526 , 2023
Link:
https://doi.org/10.1109/NaNA60121.2023.00092
RT T1 <cTitle>2023 International Conference on Networking and Network Applications (NaNA)</cTitle>: T1 <Title>Defense Against Adversarial Attacks via Adversarial Noise Denoising Networks in Image Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10284787&Exemplar=1&LAN=DE A1 Li, Chengxuan A1 Yang, Zhou A1 Xiao, Yang A1 Liu, Haozhao A1 Zhang, Yuning A1 Pei, Qingqi YR 2023 K1 Deep learning K1 Training K1 Image recognition K1 Computational modeling K1 Noise reduction K1 Data models K1 Security K1 Adversarial examples K1 Deep Learning K1 Image Denoising SP 520 OP 526 LK http://dx.doi.org/https://doi.org/10.1109/NaNA60121.2023.00092 DO https://doi.org/10.1109/NaNA60121.2023.00092 SF ELIB - SuUB Bremen
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