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Fooling the Big Picture in Classification Tasks

Minimally perturbed adversarial examples were shown to drastically reduce the performance of one-stage classifiers while being imperceptible. This paper investigates the susceptibility of hierarchical classifiers, which use fine and coarse level output categories, to adversarial attacks. We formulat...

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Detalles Bibliográficos
Autores principales: Alkhouri, Ismail, Atia, George, Mikhael, Wasfy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638414/
https://www.ncbi.nlm.nih.gov/pubmed/36373009
http://dx.doi.org/10.1007/s00034-022-02226-w