E Boltachev - Journal of Computer Virology and Hacking Techniques, 2023 - Springer
Abstract Autonomous Vehicles (CAVs) are currently seen as a viable alternative to traditional vehicles. However, CAVs will face serious cyber threats because many …
C DiPalma, N Wang, T Sato… - 2021 IEEE Security and …, 2021 - ieeexplore.ieee.org
Robust perception is crucial for autonomous vehicle security. In this work, we design a practical adversarial patch attack against camera-based obstacle detection. We identify that …
This paper introduces an attacking mechanism to challenge the resilience of autonomous driving systems. Specifically, we manipulate the decision-making processes of an …
J Liang, R Yi, J Chen, Y Nie… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Autonomous vehicles (AVs) heavily depend on machine learning-based algorithms for the purpose of environmental perception. However, extensively utilized deep learning-based …
Rapid advancements in connected and autonomous vehicles (CAVs) are fueled by breakthroughs in machine learning, yet they encounter significant risks from adversarial …
C Ma, N Wang, QA Chen, C Shen - … of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
In Autonomous Driving (AD), real-time perception is a critical component responsible for detecting surrounding objects to ensure safe driving. While researchers have extensively …
T Sen, H Shen - 2024 33rd International Conference on …, 2024 - ieeexplore.ieee.org
Connected and autonomous vehicles (CAVs) will be equipped with onboard deep neural network (DNN) models for processing the data from different sensors and communication …
VSG Chamarthi, X Chen, BBY Ravi… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Adversarial attacks on Deep Neural Networks represent a critical challenge in the adoption of DNNs in critical applications. However,-and in spite of its great need,-there is significant …
ES Seo, JE Kim, W Lee, J Seok - 2023 Fourteenth International …, 2023 - ieeexplore.ieee.org
In recent years, research has focused on developing intrusion detection systems (IDS) within vehicle networks to prevent automotive hacking from external cyberattacks. While machine …