Regularization Meets Enhanced Multi-Stage Fusion Features: Making CNN More Robust against White-Box Adversarial Attacks

Regularization has become an important method in adversarial defense. However, the existing regularization-based defense methods do not discuss which features in convolutional neural networks (CNN) are more suitable for regularization. Thus, in this paper, we propose a multi-stage feature fusion net...

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Detalles Bibliográficos
Autores principales: Zhang, Jiahuan, Maeda, Keisuke, Ogawa, Takahiro, Haseyama, Miki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324889/
https://www.ncbi.nlm.nih.gov/pubmed/35891112
http://dx.doi.org/10.3390/s22145431

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324889/
https://www.ncbi.nlm.nih.gov/pubmed/35891112
http://dx.doi.org/10.3390/s22145431

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