Over the past decade, deep learning has revolutionized conventional tasks that rely on hand-
craft feature extraction with its strong feature learning capability, leading to substantial …

In autonomous driving (AD), accurate perception is indispensable to achieving safe and
secure driving. Due to its safety-criticality, the security of AD perception has been widely …

The function call graph (FCG) based Android malware detection methods have recently
attracted increasing attention due to their promising performance. However, these methods …

The rapid advancement of edge and cloud computing platforms, vehicular ad-hoc networks,
and machine learning techniques have brought both opportunities and challenges for next …

Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …

In Autonomous Driving (AD) systems, perception is both security and safety-critical. Among
different attacks on AD perception, object-hiding adversarial attack is one of the most critical …

Recently, adversarial examples against object detection have been widely studied.
However, it is difficult for these attacks to have an impact on visual perception in …

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 …

All vehicles must follow the rules that govern traffic behavior, regardless of whether the
vehicles are human-driven or Connected, Autonomous Vehicles (CAVs). Road signs …

Traffic sign recognition is an essential component of perception in autonomous vehicles,
which is currently performed almost exclusively with deep neural networks (DNNs) …