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Targeted Physical-World Attention Attack on Deep Learning Models in Road
  Sign Recognition
v1v2v3 (latest)

Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition

IEEE Internet of Things Journal (IEEE IoT J.), 2020
9 October 2020
Xinghao Yang
Weifeng Liu
Shengli Zhang
Wei Liu
Dacheng Tao
    AAML
ArXiv (abs)PDFHTMLGithub (4★)

Papers citing "Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition"

8 / 8 papers shown
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems
Cheng Chen
Yuhong Wang
Nafis S Munir
Xiangwei Zhou
Xugui Zhou
AAML
326
2
0
14 May 2025
Evaluating Adversarial Attacks on Traffic Sign Classifiers beyond
  Standard Baselines
Evaluating Adversarial Attacks on Traffic Sign Classifiers beyond Standard BaselinesInternational Conference on Machine Learning and Applications (ICMLA), 2024
Svetlana Pavlitska
Leopold Müller
J. Marius Zöllner
AAML
373
1
0
12 Dec 2024
The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition
The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition
Shuai Yuan
Xingshuo Han
Hongwei Li
Guowen Xu
Wenbo Jiang
Tao Ni
Qingchuan Zhao
Yuguang Fang
335
7
0
19 Sep 2024
AICAttack: Adversarial Image Captioning Attack with Attention-Based
  Optimization
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization
Jiyao Li
Mingze Ni
Yifei Dong
Tianqing Zhu
Wei Liu
AAML
305
4
0
19 Feb 2024
Towards Unsupervised Graph Completion Learning on Graphs with Features
  and Structure Missing
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure MissingIndustrial Conference on Data Mining (IDM), 2023
Sichao Fu
Qinmu Peng
Yang He
Baokun Du
Xinge You
199
7
0
06 Sep 2023
Adversarial Attacks on Traffic Sign Recognition: A Survey
Adversarial Attacks on Traffic Sign Recognition: A Survey
Svetlana Pavlitska
Nico Lambing
J. Marius Zöllner
AAML
264
31
0
17 Jul 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A
  Contemporary Survey
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey
Yulong Wang
Tong Sun
Shenghong Li
Xinnan Yuan
W. Ni
Ekram Hossain
H. Vincent Poor
AAML
351
34
0
11 Mar 2023
Consistent Valid Physically-Realizable Adversarial Attack against
  Crowd-flow Prediction Models
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models
Hassan Ali
M. A. Butt
F. Filali
Ala I. Al-Fuqaha
Junaid Qadir
AAML
213
3
0
05 Mar 2023
1
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