X-ray security screening is widely used to maintain aviation/transport security, and its
significance poses a particular interest in automated screening systems. This paper aims to …

The aviation industry is a dynamic and ever-evolving sector. As technology advances and
becomes more sophisticated, the aviation industry must keep up with the changing trends …

The primary goal of knowledge distillation (KD) is to encapsulate the information of a model
learned from a teacher network into a student network, with the latter being more compact …

One of the key challenges to the X-ray security check is to detect the overlapped items in
backpacks or suitcases in the X-ray images. Most existing methods improve the robustness …

X-ray imagery systems have enabled security personnel to identify potential threats
contained within the baggage and cargo since the early 1970s. However, the manual …

We consider the blackbox transfer-based targeted adversarial attack threat model in the
realm of deep neural network (DNN) image classifiers. Rather than focusing on crossing …

X-ray imagery security screening is an essential component of transportation and logistics.
In recent years, some researchers have used computer vision algorithms to replace …

Black-box attacks can generate adversarial examples without accessing the parameters of
target model, largely exacerbating the threats of deployed deep neural networks (DNNs) …

X-ray baggage image inspection aims to detect prohibited objects. Existing inspection
systems often rely on humans to scrutinize X-ray images. Although several deep-learning …

X-ray imaging machines are widely used in border control checkpoints or public
transportation, for luggage scanning and inspection. Recent advances in deep learning …