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Miss the Point: Targeted Adversarial Attack on Multiple Landmark
  Detection

Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection

10 July 2020
Qingsong Yao
Zecheng He
Hu Han
Kevin Zhou
    AAML
ArXiv (abs)PDFHTMLGithub (21★)

Papers citing "Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection"

19 / 19 papers shown
Title
Black-box Adversarial Attacks on CNN-based SLAM Algorithms
Black-box Adversarial Attacks on CNN-based SLAM Algorithms
M. Gkeka
Bowen Sun
Evgenia Smirni
C. Antonopoulos
S. Lalis
Nikolaos Bellas
AAML
27
0
0
30 May 2025
Reliability of deep learning models for anatomical landmark detection:
  The role of inter-rater variability
Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability
Soorena Salari
H. Rivaz
Yiming Xiao
154
1
0
26 Nov 2024
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial
  Attacks
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks
Keiichiro Yamamura
Issa Oe
Hiroki Ishikura
Katsuki Fujisawa
AAML
86
0
0
07 Aug 2024
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image
  Classification
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification
Shuai Li
Xiaoguang Ma
Shancheng Jiang
Lu Meng
AAMLOOD
59
0
0
11 Mar 2024
Adversarially Robust Feature Learning for Breast Cancer Diagnosis
Adversarially Robust Feature Learning for Breast Cancer Diagnosis
Degan Hao
Dooman Arefan
M. Zuley
Wendie Berg
Shandong Wu
OODMedIm
68
1
0
13 Feb 2024
Adversarial Medical Image with Hierarchical Feature Hiding
Adversarial Medical Image with Hierarchical Feature Hiding
Qingsong Yao
Zecheng He
Yuexiang Li
Yi Lin
Kai Ma
Yefeng Zheng
S. Kevin Zhou
MedImAAML
157
4
0
04 Dec 2023
UOD: Universal One-shot Detection of Anatomical Landmarks
UOD: Universal One-shot Detection of Anatomical Landmarks
Heqin Zhu
Quan Quan
Qingsong Yao
Zaiyi Liu
S.Kevin Zhou
ViT
195
10
0
13 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
Hechang Chen
AAMLMedIm
129
19
0
24 Mar 2023
Semantic Image Attack for Visual Model Diagnosis
Semantic Image Attack for Visual Model Diagnosis
Jinqi Luo
Zhaoning Wang
Chenhuan Wu
Dong Huang
Fernando de la Torre
AAML
63
1
0
23 Mar 2023
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
76
6
0
02 Jun 2022
DATR: Domain-adaptive transformer for multi-domain landmark detection
DATR: Domain-adaptive transformer for multi-domain landmark detection
Heqin Zhu
Qingsong Yao
S. Kevin Zhou
ViTMedIm
43
11
0
12 Mar 2022
Relative distance matters for one-shot landmark detection
Relative distance matters for one-shot landmark detection
Qingsong Yao
Jianji Wang
Yihua Sun
Quan Quan
Heqin Zhu
S. Kevin Zhou
50
6
0
03 Mar 2022
Which images to label for few-shot medical landmark detection?
Which images to label for few-shot medical landmark detection?
Quan Quan
Qingsong Yao
Jun Li
S. Kevin Zhou
105
25
0
07 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
49
2
0
22 Nov 2021
CloudShield: Real-time Anomaly Detection in the Cloud
CloudShield: Real-time Anomaly Detection in the Cloud
Zecheng He
Ruby B. Lee
22
9
0
20 Aug 2021
Conditional Training with Bounding Map for Universal Lesion Detection
Conditional Training with Bounding Map for Universal Lesion Detection
Han Li
Long Chen
Hu Han
S. Kevin Zhou
MedImAI4CE
68
9
0
23 Mar 2021
U-LanD: Uncertainty-Driven Video Landmark Detection
U-LanD: Uncertainty-Driven Video Landmark Detection
Mohammad Jafari
C. Luong
Michael Y. Tsang
A. Gu
N. V. Woudenberg
R. Rohling
T. Tsang
Purang Abolmaesumi
75
13
0
02 Feb 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
107
16
0
17 Dec 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
137
19
0
19 May 2020
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