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Towards Evaluating the Robustness of Deep Diagnostic Models by
  Adversarial Attack

Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack

5 March 2021
Mengting Xu
Tao Zhang
Zhongnian Li
Mingxia Liu
Daoqiang Zhang
    AAML
    OOD
    MedIm
ArXivPDFHTML

Papers citing "Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack"

11 / 11 papers shown
Title
Accurate Explanation Model for Image Classifiers using Class Association Embedding
Accurate Explanation Model for Image Classifiers using Class Association Embedding
Ruitao Xie
Jingbang Chen
Limai Jiang
Rui Xiao
Yi-Lun Pan
Yunpeng Cai
55
4
0
31 Dec 2024
Securing the Diagnosis of Medical Imaging: An In-depth Analysis of
  AI-Resistant Attacks
Securing the Diagnosis of Medical Imaging: An In-depth Analysis of AI-Resistant Attacks
A. Biswas
Md Abdullah Al Nasim
Chen Chen
Weiming Zhuang
Abdur Rashid
AAML
26
0
0
01 Aug 2024
The Limits of Perception: Analyzing Inconsistencies in Saliency Maps in
  XAI
The Limits of Perception: Analyzing Inconsistencies in Saliency Maps in XAI
Anna Stubbin
Thompson Chyrikov
Jim Zhao
Christina Chajo
23
0
0
23 Mar 2024
Active Globally Explainable Learning for Medical Images via Class
  Association Embedding and Cyclic Adversarial Generation
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation
Ruitao Xie
Jingbang Chen
Limai Jiang
Ru Xiao
Yi-Lun Pan
Yunpeng Cai
GAN
MedIm
19
0
0
12 Jun 2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and
  Applications
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications
Junhao Dong
Junxi Chen
Xiaohua Xie
Jianhuang Lai
H. Chen
AAML
MedIm
25
16
0
24 Mar 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image
  Classification
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Omid Nejati Manzari
Hamid Ahmadabadi
Hossein Kashiani
S. B. Shokouhi
Ahmad Ayatollahi
ViT
MedIm
21
176
0
19 Feb 2023
On Evaluating Adversarial Robustness of Chest X-ray Classification:
  Pitfalls and Best Practices
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices
Salah Ghamizi
Maxime Cordy
Michail Papadakis
Yves Le Traon
OOD
6
2
0
15 Dec 2022
InfoAT: Improving Adversarial Training Using the Information Bottleneck
  Principle
InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle
Mengting Xu
Tao Zhang
Zhongnian Li
Daoqiang Zhang
AAML
35
16
0
23 Jun 2022
Adversarial attacks on an optical neural network
Adversarial attacks on an optical neural network
Shuming Jiao
Z. Song
S. Xiang
AAML
19
2
0
29 Apr 2022
AutoMO-Mixer: An automated multi-objective Mixer model for balanced,
  safe and robust prediction in medicine
AutoMO-Mixer: An automated multi-objective Mixer model for balanced, safe and robust prediction in medicine
X. Chen
Jiahuan Lv
Dehua Feng
X. Mou
L. Bai
Shu Zhang
Zhiguo Zhou
10
1
0
04 Mar 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
8
23
0
29 Nov 2021
1