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ABCAttack: A Gradient-Free Optimization Black-Box Attack for Fooling Deep Image Classifiers
The vulnerability of deep neural network (DNN)-based systems makes them susceptible to adversarial perturbation and may cause classification task failure. In this work, we propose an adversarial attack model using the Artificial Bee Colony (ABC) algorithm to generate adversarial samples without the...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953161/ https://www.ncbi.nlm.nih.gov/pubmed/35327923 http://dx.doi.org/10.3390/e24030412 |