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...
Saved in:
Published in | Pattern recognition Vol. 110; p. 107332 |
---|---|
Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.02.2021
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!