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 …

As research in deep neural networks advances, deep convolutional networks become
promising for autonomous driving tasks. In particular, there is an emerging trend of …

Nowadays, autonomous driving has attracted much attention from both industry and
academia. Convolutional neural network (CNN) is a key component in autonomous driving …

This article examines adversarial attacks against machine (deep) learning models used in
autonomous vehicles. Artificial intelligence (machine learning) systems play a decisive role …

Autonomous vehicles rely on computer vision models for perception, which have been
shown to be vulnerable to adversarial attacks. These attacks pose various risks from …

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 …

Deep Learning (DL) is a growing technological frontier supporting many autonomous driving
applications. Past decade with the growth in deep learning concepts and models, we also …

Autonomous driving systems are among the exceptional technological developments of
recent times. Such systems gather live information about the vehicle and respond with …

Connected and autonomous vehicles (CAVs) will be equipped with onboard deep neural
network (DNN) models for processing the data from different sensors and communication …

Deep neural networks are widely used in tasks such as autonomous driving and computer
vision. Previous studies have shown that it is susceptible to adversarial attacks, resulting in …