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Fooling the Image Dehazing Models by First Order Gradient

Fooling the Image Dehazing Models by First Order Gradient

30 March 2023
Jie Gui
Xiaofeng Cong
Chengwei Peng
Yuan Yan Tang
James T. Kwok
    AAML
ArXivPDFHTML

Papers citing "Fooling the Image Dehazing Models by First Order Gradient"

5 / 5 papers shown
Title
Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing
Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing
Vlad Vasilescu
Ana Neacsu
Daniela Faur
ViT
29
0
0
24 Apr 2025
Detect and Defense Against Adversarial Examples in Deep Learning using
  Natural Scene Statistics and Adaptive Denoising
Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising
Anouar Kherchouche
Sid Ahmed Fezza
W. Hamidouche
AAML
27
9
0
12 Jul 2021
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models
  against Adversarial Attacks
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks
Jun-Ho Choi
Huan Zhang
Jun-Hyuk Kim
Cho-Jui Hsieh
Jong-Seok Lee
VLM
27
7
0
30 Apr 2021
Contrastive Learning for Compact Single Image Dehazing
Contrastive Learning for Compact Single Image Dehazing
Haiyan Wu
Yanyun Qu
Shaohui Lin
Jingren Zhou
Ruizhi Qiao
Zhizhong Zhang
Yuan Xie
Lizhuang Ma
133
566
0
19 Apr 2021
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
317
5,847
0
08 Jul 2016
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