September 2026

Threshold attribute-based anonymous credentials improve the security of traditional credentials systems by distributing the power of credential issuance across multiple independent issuers, and have a

Intelligent spoofing poses a critical threat to unmanned aerial vehicle (UAV) communications by corrupting synchronization and channel estimation while evading power-based detection. This paper presen

Heterogeneous person re-identification (ReID) aims to match different captured images of the same individual in challenging situations where the images exhibit strong differences, for instance, visibl

Software security has been a long-standing and prominent topic in both industry and academia. However, with the increasing deployment of smart devices across various architectures, there is now a sign

Video anomaly detection (VAD) is critical for automation systems and security surveillance. Recently, multimodal vision–language models (MLLMs) have attracted increasing attention due to their rich pr

Passwords have been widely used for authentication, yet they face significant security risks due to the progress of modern targeted guessing attack methods. Understanding the risks of targeted passwor

With the wide application of template engines in Web development, Server-Side Template Injection (SSTI) attacks have become common security issues. Traditional white-box or black-box vulnerability met

As a classical type of machine learning algorithms, tree models have been widely employed in various fields, such as financial analysis and health diagnostics, offering high-accuracy and low-latency p

We introduce Quantum-KIP, a method that compresses a training set into a small set of kernel inducing points with soft labels. It uses a quantum feature map to compute state-fidelity overlaps and reli

Reinforcement learning (RL) based routing that enables uncrewed aerial vehicles (UAVs) to choose the next hop has slow path exploration speed under jamming and gray-hole attacks and thus degrades the