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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
    AAMLOODMedIm
ArXiv (abs)PDFHTML

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

13 / 13 papers shown
Exploring Adversarial Watermarking in Transformer-Based Models: Transferability and Robustness Against Defense Mechanism for Medical Images
Exploring Adversarial Watermarking in Transformer-Based Models: Transferability and Robustness Against Defense Mechanism for Medical Images
Rifat Sadik
Tanvir Rahman
Arpan Bhattacharjee
Bikash Chandra Halder
Ismail Hossain
Mridul Banik
Jia Uddin
MedImAAMLViT
209
0
0
05 Jun 2025
Accurate Explanation Model for Image Classifiers using Class Association Embedding
Accurate Explanation Model for Image Classifiers using Class Association EmbeddingIEEE International Conference on Data Engineering (ICDE), 2024
Ruitao Xie
Jingbang Chen
Limai Jiang
Rui Xiao
Yi-Lun Pan
Yunpeng Cai
584
12
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
242
5
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
249
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
GANMedIm
233
1
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 ApplicationsACM Computing Surveys (ACM Comput. Surv.), 2023
Junhao Dong
Junxi Chen
Xiaohua Xie
Jianhuang Lai
Hechang Chen
AAMLMedIm
379
10
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
ViTMedIm
318
388
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
217
4
0
15 Dec 2022
InfoAT: Improving Adversarial Training Using the Information Bottleneck
  Principle
InfoAT: Improving Adversarial Training Using the Information Bottleneck PrincipleIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Mengting Xu
Tao Zhang
Zhongnian Li
Daoqiang Zhang
AAML
235
22
0
23 Jun 2022
Adversarial attacks on an optical neural network
Adversarial attacks on an optical neural networkIEEE Journal of Selected Topics in Quantum Electronics (JSTQE), 2022
Shuming Jiao
Z. Song
Di Zhang
AAML
285
3
0
29 Apr 2022
ROOD-MRI: Benchmarking the robustness of deep learning segmentation
  models to out-of-distribution and corrupted data in MRI
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRINeuroImage (NeuroImage), 2022
Lyndon Boone
Mahdi Biparva
Parisa Mojiri Forooshani
Joel Ramirez
Mario Masellis
...
Sandra E. Black
Chris Heyn
Anne L. Martel
Richard H. Swartz
Maged Goubran
OOD
231
28
0
11 Mar 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
Xinyu Chen
Jiahuan Lv
Dehua Feng
X. Mou
L. Bai
Shu Zhang
Zhiguo Zhou
156
3
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 AttackIEEE Transactions on Medical Imaging (IEEE TMI), 2021
Mengting Xu
Tao Zhang
Daoqiang Zhang
AAMLMedIm
251
37
0
29 Nov 2021
1
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