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Generalizability vs. Robustness: Adversarial Examples for Medical
  Imaging

Generalizability vs. Robustness: Adversarial Examples for Medical Imaging

23 March 2018
Magdalini Paschali
Sailesh Conjeti
Fernando Navarro
Nassir Navab
    OODMedImAAML
ArXiv (abs)PDFHTML

Papers citing "Generalizability vs. Robustness: Adversarial Examples for Medical Imaging"

40 / 40 papers shown
Title
Adversarial Surrogate Risk Bounds for Binary Classification
Natalie S. Frank
AAML
84
0
0
11 Jun 2025
Adversarial Consistency and the Uniqueness of the Adversarial Bayes
  Classifier
Adversarial Consistency and the Uniqueness of the Adversarial Bayes Classifier
Natalie S. Frank
196
1
0
26 Apr 2024
The Adversarial Consistency of Surrogate Risks for Binary Classification
The Adversarial Consistency of Surrogate Risks for Binary Classification
Natalie Frank
Jonathan Niles-Weed
AAML
77
6
0
17 May 2023
Can We Revitalize Interventional Healthcare with AI-XR Surgical
  Metaverses?
Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses?
Adnan Qayyum
Muhammad Bilal
Muhammad Hadi
Paweł Capik
Massimo Caputo
H. Vohra
Ala I. Al-Fuqaha
Junaid Qadir
57
6
0
25 Mar 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
47
3
0
15 Dec 2022
Private and Reliable Neural Network Inference
Private and Reliable Neural Network Inference
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
67
15
0
27 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological
  Challenges and Opportunities
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
Andrea Tocchetti
Lorenzo Corti
Agathe Balayn
Mireia Yurrita
Philip Lippmann
Marco Brambilla
Jie Yang
87
14
0
17 Oct 2022
The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion
  (CMRxMotion)
The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion)
Shuo Wang
C. Qin
Chengyan Wang
Kang Wang
Haoran Wang
...
Zhang Shi
Chenchen Dai
Xin Chen
He Wang
Wenjia Bai
75
14
0
12 Oct 2022
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs
Prashant Pandey
Aleti Vardhan
Mustafa Chasmai
Tanuj Sur
Brejesh Lall
AAML
59
9
0
07 Oct 2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and
  Boosting Segmentation Robustness
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness
Jindong Gu
Hengshuang Zhao
Volker Tresp
Philip Torr
AAML
119
78
0
25 Jul 2022
The Consistency of Adversarial Training for Binary Classification
Natalie Frank
Jonathan Niles-Weed
AAML
77
5
0
18 Jun 2022
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs
  for Medical Image Segmentation and Detection
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection
Linhai Ma
Liang Liang
OOD
81
6
0
02 Jun 2022
Holistic Approach to Measure Sample-level Adversarial Vulnerability and
  its Utility in Building Trustworthy Systems
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems
Gaurav Kumar Nayak
Ruchit Rawal
Rohit Lal
Himanshu Patil
Anirban Chakraborty
AAML
58
2
0
05 May 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
39
1
0
04 Mar 2022
Addressing Adversarial Machine Learning Attacks in Smart Healthcare
  Perspectives
Addressing Adversarial Machine Learning Attacks in Smart Healthcare Perspectives
A. Selvakkumar
S. Pal
Zahra Jadidi
AAML
58
13
0
16 Dec 2021
Medical Aegis: Robust adversarial protectors for medical images
Medical Aegis: Robust adversarial protectors for medical images
Qingsong Yao
Zecheng He
S. Kevin Zhou
AAMLMedIm
69
2
0
22 Nov 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data
  Augmentation
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
Chen Chen
C. Qin
Cheng Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GANMedIm
125
42
0
07 Aug 2021
Stress Test Evaluation of Biomedical Word Embeddings
Stress Test Evaluation of Biomedical Word Embeddings
Vladimir Araujo
Andrés Carvallo
Carlos Aspillaga
C. Thorne
Denis Parra
44
8
0
24 Jul 2021
Learning to Detect Adversarial Examples Based on Class Scores
Learning to Detect Adversarial Examples Based on Class Scores
Tobias Uelwer
Félix D. P. Michels
Oliver De Candido
AAML
52
1
0
09 Jul 2021
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging
Fernando Navarro
Christopher Watanabe
Suprosanna Shit
Anjany Sekuboyina
J. Peeken
Stephanie E. Combs
Bjoern Menze
OOD
71
20
0
14 May 2021
Enabling Data Diversity: Efficient Automatic Augmentation via
  Regularized Adversarial Training
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training
Yunhe Gao
Zhiqiang Tang
Mu Zhou
Dimitris N. Metaxas
MedIm
49
18
0
30 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by
  Adversarial Attack
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack
Mengting Xu
Tao Zhang
Zhongnian Li
Mingxia Liu
Daoqiang Zhang
AAMLOODMedIm
105
45
0
05 Mar 2021
A Hierarchical Feature Constraint to Camouflage Medical Adversarial
  Attacks
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks
Qingsong Yao
Zecheng He
Yi Lin
Kai Ma
Yefeng Zheng
S. Kevin Zhou
AAMLMedIm
109
16
0
17 Dec 2020
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine
  Framework and Its Adversarial Examples
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples
Yingwei Li
Zhuotun Zhu
Yuyin Zhou
Yingda Xia
Wei Shen
Elliot K. Fishman
Alan Yuille
MedIm
82
23
0
29 Oct 2020
Robustification of Segmentation Models Against Adversarial Perturbations
  In Medical Imaging
Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging
Hanwool Park
Amirhossein Bayat
Mohammad Sabokrou
Jan S. Kirschke
Bjoern Menze
OODAAMLMedIm
51
11
0
23 Sep 2020
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 Guo
Felix Juefei Xu
W. L. Chan
Yupeng Cheng
Xiaohong Li
Xiaofei Xie
Shengchao Qin
AAMLAI4CE
105
33
0
19 Sep 2020
Miss the Point: Targeted Adversarial Attack on Multiple Landmark
  Detection
Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection
Qingsong Yao
Zecheng He
Hu Han
Kevin Zhou
AAML
75
37
0
10 Jul 2020
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to
  Unseen Domains
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains
Quande Liu
Qi Dou
Pheng-Ann Heng
OOD
138
202
0
04 Jul 2020
Legal Risks of Adversarial Machine Learning Research
Legal Risks of Adversarial Machine Learning Research
Ramnath Kumar
J. Penney
B. Schneier
Kendra Albert
AAMLELMSILM
61
8
0
29 Jun 2020
Defending against adversarial attacks on medical imaging AI system,
  classification or detection?
Defending against adversarial attacks on medical imaging AI system, classification or detection?
X. Li
Deng Pan
D. Zhu
AAMLMedIm
169
27
0
24 Jun 2020
Realistic Adversarial Data Augmentation for MR Image Segmentation
Realistic Adversarial Data Augmentation for MR Image Segmentation
Chen Chen
C. Qin
Huaqi Qiu
Cheng Ouyang
Shuo Wang
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GANMedIm
91
87
0
23 Jun 2020
Adversarial Attack Vulnerability of Medical Image Analysis Systems:
  Unexplored Factors
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors
Gerda Bortsova
C. González-Gonzalo
S. Wetstein
Florian Dubost
Ioannis Katramados
...
Bram van Ginneken
J. Pluim
M. Veta
Clara I. Sánchez
Marleen de Bruijne
AAMLMedIm
47
131
0
11 Jun 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial
  Robustness of Neural Networks
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
Linhai Ma
Liang Liang
AAML
143
19
0
19 May 2020
Assessing Robustness to Noise: Low-Cost Head CT Triage
Assessing Robustness to Noise: Low-Cost Head CT Triage
Sarah Hooper
Jared A. Dunnmon
M. Lungren
S. Gambhir
Christopher Ré
Adam S. Wang
Bhavik Patel
OOD
48
4
0
17 Mar 2020
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT
  Scans by Augmenting with Adversarial Attacks
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks
Siqi Liu
A. Setio
Florin-Cristian Ghesu
Eli Gibson
Sasa Grbic
Bogdan Georgescu
Dorin Comaniciu
AAMLOOD
117
40
0
08 Mar 2020
Metric Learning for Adversarial Robustness
Metric Learning for Adversarial Robustness
Chengzhi Mao
Ziyuan Zhong
Junfeng Yang
Carl Vondrick
Baishakhi Ray
OOD
96
188
0
03 Sep 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical
  XAI
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
Erico Tjoa
Cuntai Guan
XAI
170
1,467
0
17 Jul 2019
Adversarial Examples for Electrocardiograms
Adversarial Examples for Electrocardiograms
Xintian Han
Yuxuan Hu
L. Foschini
L. Chinitz
Lior Jankelson
Rajesh Ranganath
AAMLMedIm
49
4
0
13 May 2019
Data Augmentation with Manifold Exploring Geometric Transformations for
  Increased Performance and Robustness
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness
Magdalini Paschali
Walter Simson
Abhijit Guha Roy
Muhammad Ferjad Naeem
Rudiger Gobl
Christian Wachinger
Nassir Navab
AAML
70
21
0
14 Jan 2019
Adversarial Attacks Against Medical Deep Learning Systems
Adversarial Attacks Against Medical Deep Learning Systems
S. G. Finlayson
Hyung Won Chung
I. Kohane
Andrew L. Beam
SILMAAMLOODMedIm
85
233
0
15 Apr 2018
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