Universal adversarial attacks on deep neural networks for medical image classification

BACKGROUND: Deep neural networks (DNNs) are widely investigated in medical image classification to achieve automated support for clinical diagnosis. It is necessary to evaluate the robustness of medical DNN tasks against adversarial attacks, as high-stake decision-making will be made based on the di...

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Detalles Bibliográficos
Autores principales: Hirano, Hokuto, Minagi, Akinori, Takemoto, Kazuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7792111/
https://www.ncbi.nlm.nih.gov/pubmed/33413181
http://dx.doi.org/10.1186/s12880-020-00530-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7792111/
https://www.ncbi.nlm.nih.gov/pubmed/33413181
http://dx.doi.org/10.1186/s12880-020-00530-y

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