Natural Images Allow Universal Adversarial Attacks on Medical Image Classification Using Deep Neural Networks with Transfer Learning

Transfer learning from natural images is used in deep neural networks (DNNs) for medical image classification to achieve a computer-aided clinical diagnosis. Although the adversarial vulnerability of DNNs hinders practical applications owing to the high stakes of diagnosis, adversarial attacks are e...

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Detalles Bibliográficos
Autores principales: Minagi, Akinori, Hirano, Hokuto, Takemoto, Kauzhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875959/
https://www.ncbi.nlm.nih.gov/pubmed/35200740
http://dx.doi.org/10.3390/jimaging8020038

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875959/
https://www.ncbi.nlm.nih.gov/pubmed/35200740
http://dx.doi.org/10.3390/jimaging8020038

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