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ColorFool: Semantic Adversarial Colorization
v1v2 (latest)

ColorFool: Semantic Adversarial Colorization

25 November 2019
Ali Shahin Shamsabadi
Ricardo Sánchez-Matilla
Andrea Cavallaro
    AAML
ArXiv (abs)PDFHTMLGithub (53★)

Papers citing "ColorFool: Semantic Adversarial Colorization"

20 / 70 papers shown
Title
Improving Visual Quality of Unrestricted Adversarial Examples with
  Wavelet-VAE
Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE
Wenzhao Xiang
Chang-rui Liu
Shibao Zheng
44
2
0
25 Aug 2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information
AdvDrop: Adversarial Attack to DNNs by Dropping Information
Ranjie Duan
YueFeng Chen
Dantong Niu
Yun Yang
•. A. K. Qin
Yuan He
AAML
80
92
0
20 Aug 2021
Imperceptible Adversarial Examples by Spatial Chroma-Shift
Imperceptible Adversarial Examples by Spatial Chroma-Shift
A. Aydin
Deniz Sen
Berat Tuna Karli
Oguz Hanoglu
A. Temi̇zel
AAML
49
16
0
05 Aug 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 Mian
Navid Kardan
M. Shah
AAML
160
241
0
01 Aug 2021
Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations
  with Perceptual Similarity
Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity
Yajie Wang
Shangbo Wu
Wenyi Jiang
Shengang Hao
Yu-an Tan
Quan-xin Zhang
AAML
52
28
0
03 Jul 2021
Selection of Source Images Heavily Influences the Effectiveness of
  Adversarial Attacks
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks
Utku Ozbulak
Esla Timothy Anzaku
W. D. Neve
Arnout Van Messem
AAML
144
10
0
14 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
103
9
0
05 Jun 2021
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for
  Federated Learning
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning
Hanchi Ren
Jingjing Deng
Xianghua Xie
SILMAAMLFedML
107
103
0
02 May 2021
Fashion-Guided Adversarial Attack on Person Segmentation
Fashion-Guided Adversarial Attack on Person Segmentation
Marc Treu
Trung-Nghia Le
H. Nguyen
Junichi Yamagishi
Isao Echizen
AAML
54
13
0
17 Apr 2021
Semantically Stealthy Adversarial Attacks against Segmentation Models
Semantically Stealthy Adversarial Attacks against Segmentation Models
Zhenhua Chen
Chuhua Wang
David J. Crandall
AAML
77
12
0
05 Apr 2021
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a
  Blink
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink
Ranjie Duan
Xiaofeng Mao
•. A. K. Qin
Yun Yang
YueFeng Chen
Shaokai Ye
Yuan He
AAML
62
142
0
11 Mar 2021
Effective Universal Unrestricted Adversarial Attacks using a MOE
  Approach
Effective Universal Unrestricted Adversarial Attacks using a MOE Approach
Alina Elena Baia
G. D. Bari
V. Poggioni
AAML
72
8
0
27 Feb 2021
Revisiting Edge Detection in Convolutional Neural Networks
Revisiting Edge Detection in Convolutional Neural Networks
Minh Le
Subhradeep Kayal
FAtt
83
13
0
25 Dec 2020
Towards Imperceptible Universal Attacks on Texture Recognition
Towards Imperceptible Universal Attacks on Texture Recognition
Yingpeng Deng
Lina Karam
AAML
41
1
0
24 Nov 2020
Adversarial Image Color Transformations in Explicit Color Filter Space
Adversarial Image Color Transformations in Explicit Color Filter Space
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
107
14
0
12 Nov 2020
Optimism in the Face of Adversity: Understanding and Improving Deep
  Learning through Adversarial Robustness
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
121
48
0
19 Oct 2020
Can You Spot the Chameleon? Adversarially Camouflaging Images from
  Co-Salient Object Detection
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection
Ruijun Gao
Qing Guo
Felix Juefei Xu
Hongkai Yu
Huazhu Fu
Wei Feng
Yang Liu
Song Wang
AAML
95
15
0
19 Sep 2020
Semantically Adversarial Learnable Filters
Semantically Adversarial Learnable Filters
Ali Shahin Shamsabadi
Changjae Oh
Andrea Cavallaro
GAN
87
6
0
13 Aug 2020
Type I Attack for Generative Models
Type I Attack for Generative Models
Chengjin Sun
Sizhe Chen
Jia Cai
Xiaolin Huang
AAML
52
11
0
04 Mar 2020
Adversarial Color Enhancement: Generating Unrestricted Adversarial
  Images by Optimizing a Color Filter
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter
Zhengyu Zhao
Zhuoran Liu
Martha Larson
68
1
0
03 Feb 2020
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