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Understanding Adversarial Attacks on Deep Learning Based Medical Image
  Analysis Systems

Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems

24 July 2019
Xingjun Ma
Yuhao Niu
Lin Gu
Yisen Wang
Yitian Zhao
James Bailey
Feng Lu
    MedIm
    AAML
ArXivPDFHTML

Papers citing "Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems"

15 / 65 papers shown
Title
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
35
2
0
04 Jan 2021
Deep Learning Based Classification of Unsegmented Phonocardiogram
  Spectrograms Leveraging Transfer Learning
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning
Kaleem Nawaz Khan
Faiq Ahmad Khan
A. Abid
T. Ölmez
Z. Dokur
Amith Khandakar
M. Chowdhury
Muhammad Salman Khan
21
37
0
15 Dec 2020
Developing Future Human-Centered Smart Cities: Critical Analysis of
  Smart City Security, Interpretability, and Ethical Challenges
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Kashif Ahmad
Majdi Maabreh
M. Ghaly
Khalil Khan
Junaid Qadir
Ala I. Al-Fuqaha
27
142
0
14 Dec 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural
  Networks
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks
Tao Bai
Jinqi Luo
Jun Zhao
AAML
49
8
0
03 Nov 2020
A Unified Approach to Interpreting and Boosting Adversarial
  Transferability
A Unified Approach to Interpreting and Boosting Adversarial Transferability
Xin Wang
Jie Ren
Shuyu Lin
Xiangming Zhu
Yisen Wang
Quanshi Zhang
AAML
29
94
0
08 Oct 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
AAML
AI4CE
34
33
0
19 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
36
79
0
17 Sep 2020
Trust and Medical AI: The challenges we face and the expertise needed to
  overcome them
Trust and Medical AI: The challenges we face and the expertise needed to overcome them
Thomas P. Quinn
M. Senadeera
Stephan Jacobs
S. Coghlan
Vuong Le
21
123
0
18 Aug 2020
FireBERT: Hardening BERT-based classifiers against adversarial attack
FireBERT: Hardening BERT-based classifiers against adversarial attack
Gunnar Mein
Kevin Hartman
Andrew Morris
SILM
AAML
16
0
0
10 Aug 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Yunfei Liu
Xingjun Ma
James Bailey
Feng Lu
AAML
22
505
0
05 Jul 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges
  and How to Overcome Them
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
Chen Liu
Mathieu Salzmann
Tao R. Lin
Ryota Tomioka
Sabine Süsstrunk
AAML
24
81
0
15 Jun 2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural
  Styles
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles
Ranjie Duan
Xingjun Ma
Yisen Wang
James Bailey
•. A. K. Qin
Yun Yang
AAML
167
224
0
08 Mar 2020
Skip Connections Matter: On the Transferability of Adversarial Examples
  Generated with ResNets
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Dongxian Wu
Yisen Wang
Shutao Xia
James Bailey
Xingjun Ma
AAML
SILM
25
310
0
14 Feb 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,842
0
08 Jul 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
448
15,652
0
02 Nov 2015
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