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...

Celý popis

Podrobná bibliografia

Vydané v:	Pattern recognition Ročník 110; s. 107332
Hlavní autori:	Ma, Xingjun, Niu, Yuhao, Gu, Lin, Wang, Yisen, Zhao, Yitian, Bailey, James, Lu, Feng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.02.2021
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!