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Towards Adversarially Robust Deep Image Denoising

Towards Adversarially Robust Deep Image Denoising

12 January 2022
Hanshu Yan
Jingfeng Zhang
Jiashi Feng
Masashi Sugiyama
Vincent Y. F. Tan
    DiffM
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Papers citing "Towards Adversarially Robust Deep Image Denoising"

5 / 5 papers shown
Title
MIGA: Mutual Information-Guided Attack on Denoising Models for Semantic Manipulation
Guanghao Li
Mingzhi Chen
Hao Yu
Shuting Dong
Wenhao Jiang
Ming Tang
Chun Yuan
DiffM
AAML
51
0
0
10 Mar 2025
Backdoor Attacks against Image-to-Image Networks
Backdoor Attacks against Image-to-Image Networks
Wenbo Jiang
Hongwei Li
Jiaming He
Rui Zhang
Guowen Xu
Tianwei Zhang
Rongxing Lu
AAML
40
3
0
15 Jul 2024
On the unreasonable vulnerability of transformers for image restoration
  -- and an easy fix
On the unreasonable vulnerability of transformers for image restoration -- and an easy fix
Shashank Agnihotri
Kanchana Vaishnavi Gandikota
Julia Grabinski
Paramanand Chandramouli
M. Keuper
32
9
0
25 Jul 2023
Machine Beats Machine: Machine Learning Models to Defend Against
  Adversarial Attacks
Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks
Jože M. Rožanec
Dimitrios Papamartzivanos
Entso Veliou
T. Anastasiou
Jelle Keizer
B. Fortuna
Dunja Mladenić
AAML
16
1
0
28 Sep 2022
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
1