Adversarial-Aware Deep Learning System Based on a Secondary Classical Machine Learning Verification Approach

Deep learning models have been used in creating various effective image classification applications. However, they are vulnerable to adversarial attacks that seek to misguide the models into predicting incorrect classes. Our study of major adversarial attack models shows that they all specifically t...

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Detalles Bibliográficos
Autores principales: Alkhowaiter, Mohammed, Kholidy, Hisham, Alyami, Mnassar A., Alghamdi, Abdulmajeed, Zou, Cliff
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384939/
https://www.ncbi.nlm.nih.gov/pubmed/37514582
http://dx.doi.org/10.3390/s23146287

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384939/
https://www.ncbi.nlm.nih.gov/pubmed/37514582
http://dx.doi.org/10.3390/s23146287

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