Adversarial Driving: Attacking End-to-End Autonomous Driving

16 March 2021

Papers citing "Adversarial Driving: Attacking End-to-End Autonomous Driving"

7 / 7 papers shown

Title
End-to-End Visual Autonomous Parking via Control-Aided Attention Chao-Yeh Chen Shunyu Yao Yuanwu He Tao Feng Ruojing Song Yuliang Guo Xinyu Huang Chenxu Wu Ren Liu Chen Feng 93 1 0 14 Sep 2025
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems Cheng Chen Yuhong Wang Nafis S Munir Xiangwei Zhou Xugui Zhou AAML 194 2 0 14 May 2025
Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A SurveyIEEE Transactions on Intelligent Vehicles (TIV), 2023 Pranav Singh Chib Pravendra Singh 263 211 0 10 Jul 2023
A Human-in-the-Middle Attack against Object Detection SystemsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022 Han-Ching Wu Sareh Rowlands Johan Wahlstrom AAML 221 1 0 15 Aug 2022
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving SystemsIEEE Transactions on Software Engineering (TSE), 2021 Andrea Stocco Brian Pulfer Paolo Tonella 241 89 0 21 Dec 2021
Sparse Adversarial Video Attacks with Spatial TransformationsBritish Machine Vision Conference (BMVC), 2021 Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Q. Ni AAML 279 21 0 10 Nov 2021
Adversarial Robustness of Deep Learning: Theory, Algorithms, and ApplicationsInternational Conference on Information and Knowledge Management (CIKM), 2021 Wenjie Ruan Xinping Yi Xiaowei Huang AAML OOD 167 18 0 24 Aug 2021