ABCAttack: A Gradient-Free Optimization Black-Box Attack for Fooling Deep Image Classifiers

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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Bibliographic Details
Main Authors: Han Cao, Chengxiang Si, Qindong Sun, Yanxiao Liu, Shancang Li, Prosanta Gope
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Entropy
Subjects:
deep neural networks
adversarial examples
image classification
information security
black-box attack
Online Access:https://www.mdpi.com/1099-4300/24/3/412

Internet

https://www.mdpi.com/1099-4300/24/3/412

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