Understanding adversarial attacks on deep learning based medical image analysis systems

•Medical image DNNs are easier to be attacked than natural non-medical image DNNs.•Complex biological textures of medical images may lead to more vulnerable regions.•State-of-the-art deep networks can be overparameterized for medical imaging tasks.•Medical image adversarial attacks can also be easil...

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Bibliographic Details

Published in:	Pattern recognition Vol. 110; p. 107332
Main Authors:	Ma, Xingjun, Niu, Yuhao, Gu, Lin, Wang, Yisen, Zhao, Yitian, Bailey, James, Lu, Feng
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2021
Subjects:	Adversarial attack Adversarial example detection Deep learning Medical image analysis Deep learning Adversarial attack Adversarial example detection Medical image analysis
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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