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A Kernelized Manifold Mapping to Diminish the Effect of Adversarial
  Perturbations

A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations

3 March 2019
Saeid Asgari Taghanaki
Kumar Abhishek
Shekoofeh Azizi
Ghassan Hamarneh
    AAML
ArXivPDFHTML

Papers citing "A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations"

21 / 21 papers shown
Title
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing
  Adversarial Robustness
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Junwei Wu
Guoqing Yang
Shaozi Li
Zhiming Luo
AAML
38
1
0
17 Jun 2024
Robustness bounds on the successful adversarial examples in probabilistic models: Implications from Gaussian processes
Robustness bounds on the successful adversarial examples in probabilistic models: Implications from Gaussian processes
Hiroaki Maeshima
Akira Otsuka
AAML
34
0
0
04 Mar 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
MedIm
AAML
31
4
0
04 Dec 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
33
16
0
24 Mar 2023
Stationary Point Losses for Robust Model
Stationary Point Losses for Robust Model
Weiwei Gao
Dazhi Zhang
Yao Li
Zhichang Guo
Ovanes Petrosian
OOD
15
0
0
19 Feb 2023
Saliency Guided Adversarial Training for Learning Generalizable Features
  with Applications to Medical Imaging Classification System
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System
Xin Li
Yao Qiang
Chengyin Li
Sijia Liu
D. Zhu
OOD
MedIm
29
4
0
09 Sep 2022
The Security of Deep Learning Defences for Medical Imaging
The Security of Deep Learning Defences for Medical Imaging
Mosh Levy
Guy Amit
Yuval Elovici
Yisroel Mirsky
AAML
MedIm
33
9
0
21 Jan 2022
Medical Aegis: Robust adversarial protectors for medical images
Medical Aegis: Robust adversarial protectors for medical images
Qingsong Yao
Zecheng He
S. Kevin Zhou
AAML
MedIm
19
2
0
22 Nov 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
Noise Optimization for Artificial Neural Networks
Noise Optimization for Artificial Neural Networks
Li Xiao
Zeliang Zhang
Yijie Peng
31
13
0
06 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
AAML
MedIm
27
16
0
17 Dec 2020
Improving Adversarial Robustness via Probabilistically Compact Loss with
  Logit Constraints
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints
X. Li
Xiangrui Li
Deng Pan
D. Zhu
AAML
13
17
0
14 Dec 2020
Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for
  Perturbation Difficulty
Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty
Camilo Pestana
Wei Liu
D. Glance
Ajmal Saeed Mian
AAML
16
5
0
05 Nov 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
AAML
MedIm
13
26
0
24 Jun 2020
GraCIAS: Grassmannian of Corrupted Images for Adversarial Security
GraCIAS: Grassmannian of Corrupted Images for Adversarial Security
Ankita Shukla
P. Turaga
Saket Anand
AAML
10
1
0
06 May 2020
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
40
1,781
0
03 Mar 2020
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color
  Space
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space
Camilo Pestana
Naveed Akhtar
Wei Liu
D. Glance
Ajmal Saeed Mian
AAML
21
10
0
25 Feb 2020
Robust Deep Neural Networks Inspired by Fuzzy Logic
Robust Deep Neural Networks Inspired by Fuzzy Logic
Minh Le
OOD
AAML
AI4CE
17
0
0
20 Nov 2019
Self-supervised Adversarial Training
Self-supervised Adversarial Training
Kejiang Chen
Hang Zhou
YueFeng Chen
Xiaofeng Mao
Yuhong Li
Yuan He
Hui Xue
Weiming Zhang
Nenghai Yu
GAN
SSL
19
23
0
15 Nov 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
31
667
0
16 Oct 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,833
0
08 Jul 2016
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