Towards autonomous driving model resistant to adversarial attack
KH Shibly, MD Hossain, H Inoue… - Applied Artificial …, 2023 - Taylor & Francis
ABSTRACT Connected and Autonomous Vehicles (CAVs) offer improved efficiency and
convenience through innovative embedded devices. However, the development of these …
convenience through innovative embedded devices. However, the development of these …
Potential cyber threats of adversarial attacks on autonomous driving models
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 …
traditional vehicles. However, CAVs will face serious cyber threats because many …
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 …
An analysis of adversarial attacks and defenses on autonomous driving models
Nowadays, autonomous driving has attracted much attention from both industry and
academia. Convolutional neural network (CNN) is a key component in autonomous driving …
academia. Convolutional neural network (CNN) is a key component in autonomous driving …
PAID: Perturbed Image Attacks Analysis and Intrusion Detection Mechanism for Autonomous Driving Systems
Modern Autonomous Vehicles (AVs) leverage road context information collected through
sensors (eg, LiDAR, radar, and camera) to support the automated driving experience. Once …
sensors (eg, LiDAR, radar, and camera) to support the automated driving experience. Once …
[PDF][PDF] Adversarial Attacks and Defense Technologies on Autonomous Vehicles: A Review.
In recent years, various domains have been influenced by the rapid growth of machine
learning. Autonomous driving is an area that has tremendously developed in parallel with …
learning. Autonomous driving is an area that has tremendously developed in parallel with …
How Many Cameras Do You Need? Adversarial Attacks and Countermeasures for Robust Perception in Autonomous Vehicles
TA Ngo, RJ Chia, J Chan, N Chattopadhyay… - … Conference on Security …, 2022 - Springer
Deep neural networks have been established by researchers to perform significantly better
than prior algorithms in multiple domains, notably in computer vision. Naturally, this resulted …
than prior algorithms in multiple domains, notably in computer vision. Naturally, this resulted …
CSG: Classifier-aware defense strategy based on compressive sensing and generative networks for visual recognition in autonomous vehicle systems
Visual classification algorithms based-on Deep Neural Networks (DNN) have been widely
adopted in autonomous vehicle design. However, DNN suffers from adversarial attacks …
adopted in autonomous vehicle design. However, DNN suffers from adversarial attacks …
An autoencoder based approach to defend against adversarial attacks for autonomous vehicles
Boosted by the evolution of machine learning technology, large amount of data and
advanced computing system, neural networks have achieved state-of-the-art performance …
advanced computing system, neural networks have achieved state-of-the-art performance …
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 …