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Defending against adversarial attacks on medical imaging AI system,
  classification or detection?

Defending against adversarial attacks on medical imaging AI system, classification or detection?

24 June 2020
X. Li
Deng Pan
D. Zhu
    AAML
    MedIm
ArXivPDFHTML

Papers citing "Defending against adversarial attacks on medical imaging AI system, classification or detection?"

3 / 3 papers shown
Title
Saliency Guided Adversarial Training for Learning Generalizable Features
  with Applications to Medical Imaging Classification System
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System
Xin Li
Yao Qiang
Chengyin Li
Sijia Liu
D. Zhu
OOD
MedIm
29
4
0
09 Sep 2022
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical
  Pretrained Models Against Adversarial Attack
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack
Mengting Xu
Tao Zhang
Daoqiang Zhang
AAML
MedIm
13
23
0
29 Nov 2021
Bias Field Poses a Threat to DNN-based X-Ray Recognition
Bias Field Poses a Threat to DNN-based X-Ray Recognition
Binyu Tian
Qing-Wu Guo
Felix Juefei Xu
W. L. Chan
Yupeng Cheng
Xiaohong Li
Xiaofei Xie
Shengchao Qin
AAML
AI4CE
24
33
0
19 Sep 2020
1