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Improving Robustness of Deep-Learning-Based Image Reconstruction

Improving Robustness of Deep-Learning-Based Image Reconstruction

26 February 2020
Ankit Raj
Y. Bresler
Bo-wen Li
    OOD
    AAML
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Papers citing "Improving Robustness of Deep-Learning-Based Image Reconstruction"

7 / 7 papers shown
Title
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser
Astha Verma
A. Subramanyam
Siddhesh Bangar
Naman Lal
R. Shah
Shiníchi Satoh
31
4
0
13 Apr 2023
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization
  Perspective
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
Yimeng Zhang
Yuguang Yao
Jinghan Jia
Jinfeng Yi
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
15
33
0
27 Mar 2022
Deep Equilibrium Architectures for Inverse Problems in Imaging
Deep Equilibrium Architectures for Inverse Problems in Imaging
Davis Gilton
Greg Ongie
Rebecca Willett
43
181
0
16 Feb 2021
Model Adaptation for Inverse Problems in Imaging
Model Adaptation for Inverse Problems in Imaging
Davis Gilton
Greg Ongie
Rebecca Willett
OOD
MedIm
14
48
0
30 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness
  Included?
Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
Martin Genzel
Jan Macdonald
M. März
AAML
OOD
24
101
0
09 Nov 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,835
0
08 Jul 2016
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