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

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

9 October 2020

Wei Liu

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

8 / 8 papers shown

Title
Evaluating Adversarial Attacks on Traffic Sign Classifiers beyond Standard Baselines Svetlana Pavlitska Leopold Müller J. Marius Zöllner AAML 76 0 0 12 Dec 2024
ITPatch: An Invisible and Triggered Physical Adversarial Patch against Traffic Sign Recognition Shuai Yuan Hongwei Li Xingshuo Han Guowen Xu Wenbo Jiang Tao Ni Qingchuan Zhao Yuguang Fang 34 4 0 19 Sep 2024
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization Jiyao Li Mingze Ni Yifei Dong Tianqing Zhu Wei Liu AAML 35 2 0 19 Feb 2024
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing Sichao Fu Qinmu Peng Yang He Baokun Du Xinge You 26 2 0 06 Sep 2023
Adversarial Attacks on Traffic Sign Recognition: A Survey Svetlana Pavlitska Nico Lambing J. Marius Zöllner AAML 21 17 0 17 Jul 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey Yulong Wang Tong Sun Shenghong Li Xinnan Yuan W. Ni E. Hossain H. Vincent Poor AAML 26 18 0 11 Mar 2023
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 22 2 0 05 Mar 2023
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016