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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |