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...

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Detalles Bibliográficos
Autores principales: Cao, Han, Si, Chengxiang, Sun, Qindong, Liu, Yanxiao, Li, Shancang, Gope, Prosanta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953161/
https://www.ncbi.nlm.nih.gov/pubmed/35327923
http://dx.doi.org/10.3390/e24030412

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