Cybersecurity of autonomous vehicles: A systematic literature review of adversarial attacks and defense models
Autonomous driving (AD) has developed tremendously in parallel with the ongoing
development and improvement of deep learning (DL) technology. However, the uptake of …
development and improvement of deep learning (DL) technology. However, the uptake of …
[HTML][HTML] Reconstruction-Based Adversarial Attack Detection in Vision-Based Autonomous Driving Systems
The perception system is a safety-critical component that directly impacts the overall safety
of autonomous driving systems (ADSs). It is imperative to ensure the robustness of the deep …
of autonomous driving systems (ADSs). It is imperative to ensure the robustness of the deep …
Adversarial Machine Learning Attacks on Multiclass Classification of IoT Network Traffic
V Pantelakis, P Bountakas, A Farao… - Proceedings of the 18th …, 2023 - dl.acm.org
Machine Learning-based Intrusion Detection Systems have been proven to be very effective
in the protection of IoT Networks. However, the expansion of Adversarial Machine Learning …
in the protection of IoT Networks. However, the expansion of Adversarial Machine Learning …