Attacking Black-Box Image Classifiers With Particle Swarm Optimization

Attacking Black-Box Image Classifiers With Particle Swarm Optimization

In order to better solve the shortcomings of Deep Neural Networks (DNNs) susceptible to adversarial examples, evaluating existing neural network classification performance and increasing training sets to improve the robustness of classification models require more effective methods of the adversaria...

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Bibliographic Details
Main Authors: Quanxin Zhang, Kunqing Wang, Wenjiao Zhang, Jingjing Hu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
PSO
variants of PSO (vPSO)
deep neural network
images classifiers
black-box attack
Online Access:https://ieeexplore.ieee.org/document/8876844/

Internet

https://ieeexplore.ieee.org/document/8876844/

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