The security of autonomous driving: Threats, defenses, and future directions

K Ren, Q Wang, C Wang, Z Qin… - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
Autonomous vehicles (AVs) have promised to drastically improve the convenience of driving
by releasing the burden of drivers and reducing traffic accidents with more precise control …

Deep learning-based autonomous driving systems: A survey of attacks and defenses

Y Deng, T Zhang, G Lou, X Zheng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The rapid development of artificial intelligence, especially deep learning technology, has
advanced autonomous driving systems (ADSs) by providing precise control decisions to …

Deep learning for safe autonomous driving: Current challenges and future directions

K Muhammad, A Ullah, J Lloret… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …

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 …

Too good to be safe: Tricking lane detection in autonomous driving with crafted perturbations

P Jing, Q Tang, Y Du, L Xue, X Luo, T Wang… - 30th USENIX Security …, 2021 - usenix.org
Autonomous driving is developing rapidly and has achieved promising performance by
adopting machine learning algorithms to finish various tasks automatically. Lane detection is …

Cybersecurity for autonomous vehicles: Review of attacks and defense

K Kim, JS Kim, S Jeong, JH Park, HK Kim - Computers & security, 2021 - Elsevier
As technology has evolved, cities have become increasingly smart. Smart mobility is a
crucial element in smart cities, and autonomous vehicles are an essential part of smart …

Security and privacy issues in autonomous vehicles: A layer-based survey

M Hataba, A Sherif, M Mahmoud… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Artificial Intelligence (AI) is changing every technology we are used to deal with. Autonomy
has long been a sought-after goal in vehicles, and now more than ever we are very close to …

Poisoning and evasion attacks against deep learning algorithms in autonomous vehicles

W Jiang, H Li, S Liu, X Luo, R Lu - IEEE transactions on …, 2020 - ieeexplore.ieee.org
With the ongoing development and improvement of deep learning technology, autonomous
vehicles (AVs) have made tremendous progress in recent years. Despite its great potential …

Edge computing for autonomous driving: Opportunities and challenges

S Liu, L Liu, J Tang, B Yu, Y Wang… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Safety is the most important requirement for autonomous vehicles; hence, the ultimate
challenge of designing an edge computing ecosystem for autonomous vehicles is to deliver …

Roadmap for cybersecurity in autonomous vehicles

VK Kukkala, SV Thiruloga… - IEEE Consumer …, 2022 - ieeexplore.ieee.org
Autonomous vehicles are on the horizon and will be transforming transportation safety and
comfort. These vehicles will be connected to various external systems and utilize advanced …