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Enhancing Adversarial Robustness of DNNS Via Weight Decorre..:
, In:
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Zhang, Cong
;
Li, Yuezun
;
Qi, Honggang
. - p. 4660-4664 , 2024
Link:
https://doi.org/10.1109/ICASSP48485.2024.10447737
RT T1 <cTitle>ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Enhancing Adversarial Robustness of DNNS Via Weight Decorrelation in Training</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10447737&Exemplar=1&LAN=DE A1 Zhang, Cong A1 Li, Yuezun A1 Qi, Honggang A1 Lyu, Siwei YR 2024 SN 2379-190X K1 Training K1 Gaussian noise K1 Closed box K1 Artificial neural networks K1 Robustness K1 Stability analysis K1 Decorrelation K1 Adversarial robustness K1 weight decorrelation K1 randomized neural networks K1 directional analysis SP 4660 OP 4664 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP48485.2024.10447737 DO https://doi.org/10.1109/ICASSP48485.2024.10447737 SF ELIB - SuUB Bremen
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