Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1911.10891
Cited By
v1
v2 (latest)
ColorFool: Semantic Adversarial Colorization
25 November 2019
Ali Shahin Shamsabadi
Ricardo Sánchez-Matilla
Andrea Cavallaro
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Github (53★)
Papers citing
"ColorFool: Semantic Adversarial Colorization"
20 / 70 papers shown
Title
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
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
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
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
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
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
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
Hanchi Ren
Jingjing Deng
Xianghua Xie
SILM
AAML
FedML
107
103
0
02 May 2021
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
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
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
Alina Elena Baia
G. D. Bari
V. Poggioni
AAML
72
8
0
27 Feb 2021
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
Yingpeng Deng
Lina Karam
AAML
41
1
0
24 Nov 2020
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
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
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
Ali Shahin Shamsabadi
Changjae Oh
Andrea Cavallaro
GAN
87
6
0
13 Aug 2020
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
Zhengyu Zhao
Zhuoran Liu
Martha Larson
68
1
0
03 Feb 2020
Previous
1
2