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Adversarial Camouflage: Hiding Physical-World Attacks with Natural
  Styles

Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles

8 March 2020
Ranjie Duan
Xingjun Ma
Yisen Wang
James Bailey
•. A. K. Qin
Yun Yang
    AAML
ArXivPDFHTML

Papers citing "Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles"

33 / 33 papers shown
Title
Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders
Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders
Yuqiu Liu
Huanqian Yan
Xiaopei Zhu
Xiaolin Hu
L. Tang
Hang Su
Chen Lv
29
0
0
07 May 2025
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey
Shashank Kapoor
Sanjay Surendranath Girija
Lakshit Arora
Dipen Pradhan
Ankit Shetgaonkar
Aman Raj
AAML
69
0
0
06 May 2025
DTA: Distribution Transform-based Attack for Query-Limited Scenario
DTA: Distribution Transform-based Attack for Query-Limited Scenario
Renyang Liu
Wei Zhou
Xin Jin
Song Gao
Yuanyu Wang
Ruxin Wang
16
0
0
12 Dec 2023
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
Yiming Li
Mingyan Zhu
Junfeng Guo
Tao Wei
Shu-Tao Xia
Zhan Qin
AAML
66
1
0
03 Dec 2023
SCME: A Self-Contrastive Method for Data-free and Query-Limited Model
  Extraction Attack
SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack
Renyang Liu
Jinhong Zhang
Kwok-Yan Lam
Jun Zhao
Wei Zhou
15
1
0
15 Oct 2023
A Comprehensive Study on the Robustness of Image Classification and
  Object Detection in Remote Sensing: Surveying and Benchmarking
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
23
11
0
21 Jun 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks &
  Defenses
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
37
49
0
18 May 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
44
21
0
19 Feb 2023
On the Robustness of Randomized Ensembles to Adversarial Perturbations
On the Robustness of Randomized Ensembles to Adversarial Perturbations
Hassan Dbouk
Naresh R Shanbhag
AAML
23
7
0
02 Feb 2023
Generalizable Black-Box Adversarial Attack with Meta Learning
Generalizable Black-Box Adversarial Attack with Meta Learning
Fei Yin
Yong Zhang
Baoyuan Wu
Yan Feng
Jingyi Zhang
Yanbo Fan
Yujiu Yang
AAML
24
27
0
01 Jan 2023
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
22
42
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
30
3
0
19 Sep 2022
Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters
  Substitution
Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution
Ming-Kuai Zhou
Xiaobing Pei
AAML
16
0
0
31 Aug 2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Yiming Li
Linghui Zhu
Xiaojun Jia
Yang Bai
Yong Jiang
Shutao Xia
Xiaochun Cao
Kui Ren
AAML
38
12
0
04 Aug 2022
Adversarial Camouflage for Node Injection Attack on Graphs
Adversarial Camouflage for Node Injection Attack on Graphs
Shuchang Tao
Qi Cao
Huawei Shen
Yunfan Wu
Liang Hou
Fei Sun
Xueqi Cheng
AAML
GNN
30
21
0
03 Aug 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
33
8
0
02 Apr 2022
All You Need is RAW: Defending Against Adversarial Attacks with Camera
  Image Pipelines
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
Yuxuan Zhang
B. Dong
Felix Heide
AAML
26
8
0
16 Dec 2021
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
192
345
0
15 Dec 2021
Defending against Model Stealing via Verifying Embedded External
  Features
Defending against Model Stealing via Verifying Embedded External Features
Yiming Li
Linghui Zhu
Xiaojun Jia
Yong Jiang
Shutao Xia
Xiaochun Cao
AAML
35
61
0
07 Dec 2021
Medical Aegis: Robust adversarial protectors for medical images
Medical Aegis: Robust adversarial protectors for medical images
Qingsong Yao
Zecheng He
S. Kevin Zhou
AAML
MedIm
19
2
0
22 Nov 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural
  Networks
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang
Yisen Wang
S. Erfani
Quanquan Gu
James Bailey
Xingjun Ma
AAML
TPM
44
100
0
07 Oct 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
11
89
0
20 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 Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
3D Adversarial Attacks Beyond Point Cloud
3D Adversarial Attacks Beyond Point Cloud
Jinlai Zhang
Lyujie Chen
Binbin Liu
Bojun Ouyang
Qizhi Xie
Jihong Zhu
Weiming Li
Yanmei Meng
3DPC
19
38
0
25 Apr 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
14
12
0
17 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
11
137
0
11 Mar 2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in
  Physical World
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
Jiakai Wang
Aishan Liu
Zixin Yin
Shunchang Liu
Shiyu Tang
Xianglong Liu
AAML
133
194
0
01 Mar 2021
Unlearnable Examples: Making Personal Data Unexploitable
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang
Xingjun Ma
S. Erfani
James Bailey
Yisen Wang
MIACV
136
190
0
13 Jan 2021
SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image
  Classifiers
SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers
Bingyao Huang
Haibin Ling
AAML
17
19
0
10 Dec 2020
A Unified Approach to Interpreting and Boosting Adversarial
  Transferability
A Unified Approach to Interpreting and Boosting Adversarial Transferability
Xin Eric Wang
Jie Ren
Shuyu Lin
Xiangming Zhu
Yisen Wang
Quanshi Zhang
AAML
21
94
0
08 Oct 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Yunfei Liu
Xingjun Ma
James Bailey
Feng Lu
AAML
22
501
0
05 Jul 2020
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
179
302
0
21 May 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
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