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Enhancing the Adversarial Transferability of Vision Transfo..:
, In:
2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
,
Boheng, Zeng
- p. 1-4 , 2022
Link:
https://doi.org/10.1109/ICCWAMTIP56608.2022.10016482
RT T1 <cTitle>2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)</cTitle>: T1 <Title>Enhancing the Adversarial Transferability of Vision Transformers Through Perturbation Invariance</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10016482&Exemplar=1&LAN=DE A1 Boheng, Zeng YR 2022 SN 2576-8964 K1 Wavelet transforms K1 Perturbation methods K1 Gaussian noise K1 Neural networks K1 Information processing K1 Media K1 Transformers K1 Vision transformer K1 Deep neural network K1 Model augmentation K1 Transfer-based adversarial attack SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ICCWAMTIP56608.2022.10016482 DO https://doi.org/10.1109/ICCWAMTIP56608.2022.10016482 SF ELIB - SuUB Bremen
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