Autonomous driving security: State of the art and challenges

C Gao, G Wang, W Shi, Z Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The autonomous driving industry has mushroomed over the past decade. Although
autonomous driving has undoubtedly become one of the most promising technologies of this …

Cybersecurity and forensics in connected autonomous vehicles: A review of the state-of-the-art

P Sharma, J Gillanders - IEEE Access, 2022 - ieeexplore.ieee.org
Connected Autonomous Vehicles (CAVs) are transformational technologies that have
demonstrated significant potential for shaping the future of transportation systems. CAV …

Does physical adversarial example really matter to autonomous driving? towards system-level effect of adversarial object evasion attack

N Wang, Y Luo, T Sato, K Xu… - Proceedings of the …, 2023 - openaccess.thecvf.com
In autonomous driving (AD), accurate perception is indispensable to achieving safe and
secure driving. Due to its safety-criticality, the security of AD perception has been widely …

An integrated approach of threat analysis for autonomous vehicles perception system

S Ghosh, A Zaboli, J Hong, J Kwon - IEEE Access, 2023 - ieeexplore.ieee.org
Automated vehicles are a revolutionary step in mobility, providing a safe and convenient
riding experience while keeping the human-driving task minimal to none. Therefore, these …

WIP: Towards the Practicality of the Adversarial Attack on Object Tracking in Autonomous Driving

C Ma, N Wang, QA Chen, C Shen - ISOC Symposium on Vehicle …, 2023 - par.nsf.gov
Recently, adversarial examples against object detection have been widely studied.
However, it is difficult for these attacks to have an impact on visual perception in …

Lateral-Direction Localization Attack in High-Level Autonomous Driving: Domain-Specific Defense Opportunity via Lane Detection

J Shen, Y Luo, Z Wan, QA Chen - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
Localization in high-level Autonomous Driving (AD) systems is highly security critical.
Recently, researchers found that state-of-the-art Multi-Sensor Fusion (MSF) based …

Cyber security analysis of connected vehicles

MD Mwanje, O Kaiwartya, M Aljaidi… - IET Intelligent …, 2024 - Wiley Online Library
The sensor‐enabled in‐vehicle communication and infrastructure‐centric vehicle‐to‐
everything (V2X) communications have significantly contributed to the spark in the amount of …

ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving

C Ma, N Wang, Z Zhao, Q Wang, QA Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent research in adversarial machine learning has focused on visual perception in
Autonomous Driving (AD) and has shown that printed adversarial patches can attack object …

Sneak: Synonymous sentences-aware adversarial attack on natural language video localization

W Gou, W Shi, J Lou, L Huang, P Zhou, R Li - arXiv preprint arXiv …, 2021 - arxiv.org
Natural language video localization (NLVL) is an important task in the vision-language
understanding area, which calls for an in-depth understanding of not only computer vision …

[引用][C] 해시그래프기반자율주행인공지능학습데이터관리기법

이희선, 박영훈 - 대한전자공학회학술대회, 2023 - dbpia.co.kr
Autonomous driving technologies have recently attracted outstanding attention from
industry, academia, and research institutes due to a wide range of positive impact on …