Diversity Adversarial Training against Adversarial Attack on Deep Neural Networks

Diversity Adversarial Training against Adversarial Attack on Deep Neural Networks

This paper presents research focusing on visualization and pattern recognition based on computer science. Although deep neural networks demonstrate satisfactory performance regarding image and voice recognition, as well as pattern analysis and intrusion detection, they exhibit inferior performance t...

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Bibliographic Details
Main Authors: Hyun Kwon, Jun Lee
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Symmetry
Subjects:
machine learning
adversarial example
defense technology
deep neural network (DNN)
Online Access:https://www.mdpi.com/2073-8994/13/3/428

Internet

https://www.mdpi.com/2073-8994/13/3/428

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