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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"

50 / 70 papers shown
Title
Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
Kaixun Jiang
Zhaoyu Chen
Haijing Guo
Jinglun Li
Jiyuan Fu
Pinxue Guo
Hao Tang
Bo Li
Wenqiang Zhang
DiffMAAML
75
0
0
02 Jun 2025
Light as Deception: GPT-driven Natural Relighting Against Vision-Language Pre-training Models
Light as Deception: GPT-driven Natural Relighting Against Vision-Language Pre-training Models
Ying Yang
Jie Zhang
Xiao Lv
Di Lin
Tao Xiang
Qing Guo
AAMLVLM
38
0
0
30 May 2025
TRAIL: Transferable Robust Adversarial Images via Latent diffusion
TRAIL: Transferable Robust Adversarial Images via Latent diffusion
Yuhao Xue
Zhifei Zhang
Xinyang Jiang
Yifei Shen
Junyao Gao
Wentao Gu
Jiale Zhao
Miaojing Shi
Cairong Zhao
AAML
62
0
0
22 May 2025
Defending Against Frequency-Based Attacks with Diffusion Models
Defending Against Frequency-Based Attacks with Diffusion Models
Fatemeh Amerehi
Patrick Healy
AAML
83
0
0
15 Apr 2025
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models
Namhyuk Ahn
Kiyoon Yoo
Wonhyuk Ahn
Daesik Kim
Seung-Hun Nam
AAMLWIGMDiffM
190
0
0
16 Dec 2024
ReToMe-VA: Recursive Token Merging for Video Diffusion-based
  Unrestricted Adversarial Attack
ReToMe-VA: Recursive Token Merging for Video Diffusion-based Unrestricted Adversarial Attack
Ziyi Gao
Kai-xiang Chen
Zhipeng Wei
Tingshu Mou
Jingjing Chen
Zhiyu Tan
Hao Li
Yu-Gang Jiang
VGenAAML
66
2
0
10 Aug 2024
A Survey and Evaluation of Adversarial Attacks for Object Detection
A Survey and Evaluation of Adversarial Attacks for Object Detection
Khoi Nguyen Tiet Nguyen
Wenyu Zhang
Kangkang Lu
Yuhuan Wu
Xingjian Zheng
Hui Li Tan
Liangli Zhen
AAML
71
0
0
04 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and
  Unintentional Perturbations: Survey and Research Challenges
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
Sazzad Sayyed
Milin Zhang
Shahriar Rifat
A. Swami
Michael De Lucia
Francesco Restuccia
104
1
0
31 Jul 2024
Rethinking the Threat and Accessibility of Adversarial Attacks against
  Face Recognition Systems
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems
Yuxin Cao
Yumeng Zhu
Derui Wang
Sheng Wen
Minhui Xue
Jin Lu
Hao Ge
AAML
73
0
0
11 Jul 2024
Benchmarking Out-of-Distribution Generalization Capabilities of
  DNN-based Encoding Models for the Ventral Visual Cortex
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex
Spandan Madan
Will Xiao
Mingran Cao
Hanspeter Pfister
Margaret Livingstone
Gabriel Kreiman
OOD
104
4
0
16 Jun 2024
ASAM: Boosting Segment Anything Model with Adversarial Tuning
ASAM: Boosting Segment Anything Model with Adversarial Tuning
Bo Li
Haoke Xiao
Lv Tang
102
10
0
01 May 2024
How Real Is Real? A Human Evaluation Framework for Unrestricted
  Adversarial Examples
How Real Is Real? A Human Evaluation Framework for Unrestricted Adversarial Examples
Dren Fazlija
Arkadij Orlov
Johanna Schrader
Monty-Maximilian Zühlke
Michael Rohs
Daniel Kudenko
AAML
23
0
0
19 Apr 2024
Imperceptible Protection against Style Imitation from Diffusion Models
Imperceptible Protection against Style Imitation from Diffusion Models
Namhyuk Ahn
Wonhyuk Ahn
Kiyoon Yoo
Daesik Kim
Seung-Hun Nam
WIGMAAMLDiffM
84
6
0
28 Mar 2024
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion
  Models!
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!
Shashank Kotyan
Poyuan Mao
Pin-Yu Chen
Danilo Vasconcellos Vargas
AAMLDiffM
109
0
0
07 Feb 2024
Transcending Adversarial Perturbations: Manifold-Aided Adversarial
  Examples with Legitimate Semantics
Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics
Shuai Li
Xiaoyu Jiang
Xiaoguang Ma
AAML
71
0
0
05 Feb 2024
Adversarial Camera Patch: An Effective and Robust Physical-World Attack
  on Object Detectors
Adversarial Camera Patch: An Effective and Robust Physical-World Attack on Object Detectors
Kalibinuer Tiliwalidi
AAML
87
2
0
11 Dec 2023
RetouchUAA: Unconstrained Adversarial Attack via Image Retouching
RetouchUAA: Unconstrained Adversarial Attack via Image Retouching
Mengda Xie
Yiling He
Meie Fang
AAML
66
1
0
27 Nov 2023
Distilling Out-of-Distribution Robustness from Vision-Language
  Foundation Models
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
Andy Zhou
Jindong Wang
Yu-Xiong Wang
Haohan Wang
VLM
94
6
0
02 Nov 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models
  Against Adversarial Attacks
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
85
18
0
01 Oct 2023
Black-box Attacks on Image Activity Prediction and its Natural Language
  Explanations
Black-box Attacks on Image Activity Prediction and its Natural Language Explanations
Alina Elena Baia
Valentina Poggioni
Andrea Cavallaro
AAML
51
1
0
30 Sep 2023
Semantic Adversarial Attacks via Diffusion Models
Semantic Adversarial Attacks via Diffusion Models
Chenan Wang
Jinhao Duan
Chaowei Xiao
Edward Kim
Matthew C. Stamm
Kaidi Xu
DiffM
63
10
0
14 Sep 2023
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake
  Detection
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection
Weijie Wang
Zhengyu Zhao
N. Sebe
Bruno Lepri
AAML
70
2
0
03 Sep 2023
Multi-objective Evolutionary Search of Variable-length Composite
  Semantic Perturbations
Multi-objective Evolutionary Search of Variable-length Composite Semantic Perturbations
Jialiang Sun
Wen Yao
Tingsong Jiang
Xiaoqian Chen
AAML
55
0
0
13 Jul 2023
Content-based Unrestricted Adversarial Attack
Content-based Unrestricted Adversarial Attack
Zhaoyu Chen
Yue Liu
Shuang Wu
Kaixun Jiang
Shouhong Ding
Wenqiang Zhang
DiffM
91
69
0
18 May 2023
Attacking Perceptual Similarity Metrics
Attacking Perceptual Similarity Metrics
Abhijay Ghildyal
Feng Liu
AAML
89
10
0
15 May 2023
Adversarial Infrared Blocks: A Multi-view Black-box Attack to Thermal
  Infrared Detectors in Physical World
Adversarial Infrared Blocks: A Multi-view Black-box Attack to Thermal Infrared Detectors in Physical World
Chen-Hao Hu
Weiwen Shi
Tingsong Jiang
Wen Yao
Ling Tian
Xiaoqian Chen
AAML
79
4
0
21 Apr 2023
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video
  Compression
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression
Jung-Woo Chang
Nojan Sheybani
Shehzeen Samarah Hussain
Mojan Javaheripi
Seira Hidano
F. Koushanfar
AAML
64
1
0
04 Apr 2023
Provable Unrestricted Adversarial Training without Compromise with
  Generalizability
Provable Unrestricted Adversarial Training without Compromise with Generalizability
Lili Zhang
Ning Yang
Yanchao Sun
Philip S. Yu
AAML
81
2
0
22 Jan 2023
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Peter Ebert Christensen
Vésteinn Snaebjarnarson
Andrea Dittadi
Serge Belongie
Sagie Benaim
AAML
93
1
0
17 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Zhengyu Zhao
Hanwei Zhang
Renjue Li
R. Sicre
Laurent Amsaleg
Michael Backes
AAML
107
20
0
17 Nov 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Shengming Yuan
Qilong Zhang
Lianli Gao
Yaya Cheng
Jingkuan Song
AAML
99
46
0
05 Oct 2022
Adversarial Color Projection: A Projector-based Physical Attack to DNNs
Adversarial Color Projection: A Projector-based Physical Attack to DNNs
Chen-Hao Hu
Weiwen Shi
Ling Tian
AAML
77
3
0
19 Sep 2022
Enhance the Visual Representation via Discrete Adversarial Training
Enhance the Visual Representation via Discrete Adversarial Training
Xiaofeng Mao
YueFeng Chen
Ranjie Duan
Yao Zhu
Gege Qi
Shaokai Ye
Xiaodan Li
Rong Zhang
Hui Xue
108
33
0
16 Sep 2022
Adversarial Color Film: Effective Physical-World Attack to DNNs
Adversarial Color Film: Effective Physical-World Attack to DNNs
Chen-Hao Hu
Weiwen Shi
AAML
176
14
0
02 Sep 2022
Scale-free and Task-agnostic Attack: Generating Photo-realistic
  Adversarial Patterns with Patch Quilting Generator
Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator
Xiang Gao
Cheng Luo
Qinliang Lin
Weicheng Xie
Minmin Liu
Linlin Shen
Keerthy Kusumam
Siyang Song
50
5
0
12 Aug 2022
Rethinking Adversarial Examples for Location Privacy Protection
Rethinking Adversarial Examples for Location Privacy Protection
Trung-Nghia Le
Ta Gu
H. Nguyen
Isao Echizen
AAML
34
1
0
28 Jun 2022
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
Chen-Hao Hu
Weiwen Shi
AAML
103
5
0
23 Jun 2022
Improving generalization by mimicking the human visual diet
Improving generalization by mimicking the human visual diet
Spandan Madan
You Li
Mengmi Zhang
Hanspeter Pfister
Gabriel Kreiman
49
2
0
15 Jun 2022
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs
Chen-Hao Hu
Yilong Wang
Kalibinuer Tiliwalidi
Wen Li
AAML
118
17
0
02 Jun 2022
Restricted Black-box Adversarial Attack Against DeepFake Face Swapping
Restricted Black-box Adversarial Attack Against DeepFake Face Swapping
Junhao Dong
Yuan Wang
Jianhuang Lai
Xiaohua Xie
PICVAAML
65
49
0
26 Apr 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs
Adversarial Neon Beam: A Light-based Physical Attack to DNNs
Chen-Hao Hu
Weiwen Shi
Wen Li
AAML
91
9
0
02 Apr 2022
StyleFool: Fooling Video Classification Systems via Style Transfer
StyleFool: Fooling Video Classification Systems via Style Transfer
Yu Cao
Xi Xiao
Ruoxi Sun
Derui Wang
Minhui Xue
Sheng Wen
AAML
118
26
0
30 Mar 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial
  Training to Composite Semantic Perturbations
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
Lei Hsiung
Yun-Yun Tsai
Pin-Yu Chen
Tsung-Yi Ho
AAML
77
30
0
09 Feb 2022
ALA: Naturalness-aware Adversarial Lightness Attack
ALA: Naturalness-aware Adversarial Lightness Attack
Yihao Huang
Liangru Sun
Qing Guo
Felix Juefei Xu
Jiayi Zhu
Jincao Feng
Yang Liu
G. Pu
AAML
92
11
0
16 Jan 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum
  Changes
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes
Fangcheng Liu
Chaoning Zhang
Hongyang R. Zhang
AAML
86
21
0
04 Jan 2022
Amicable Aid: Perturbing Images to Improve Classification Performance
Amicable Aid: Perturbing Images to Improve Classification Performance
Juyeop Kim
Jun-Ho Choi
Soobeom Jang
Jong-Seok Lee
AAML
72
2
0
09 Dec 2021
Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive
  Network
Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network
Yihao Huang
Felix Juefei Xu
Qing Guo
G. Pu
Yang Liu
GAN
58
4
0
25 Nov 2021
Evaluating Adversarial Attacks on ImageNet: A Reality Check on
  Misclassification Classes
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes
Utku Ozbulak
Maura Pintor
Arnout Van Messem
W. D. Neve
AAML
38
5
0
22 Nov 2021
Unrestricted Adversarial Attacks on ImageNet Competition
Unrestricted Adversarial Attacks on ImageNet Competition
YueFeng Chen
Xiaofeng Mao
Yuan He
Hui Xue
Chao Li
...
Bingyang Fu
Yunfei Zheng
Yekui Wang
Haorong Luo
Zhen Yang
AAML
44
10
0
17 Oct 2021
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art
  Black-Box Attacks
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks
Kaleel Mahmood
Rigel Mahmood
Ethan Rathbun
Marten van Dijk
AAML
74
22
0
29 Sep 2021
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