November 2026

The extreme variability of time-varying underwater acoustic (UWA) channels poses fundamental barriers to reliability and undetectability in covert communication. In this paper, we propose a covert com

Location-Based Services (LBSs) offer significant convenience to mobile users but pose significant privacy risks, as attackers can infer sensitive personal information through spatiotemporal correlatio

X-ray prohibited item detection (XPID) aims to automatically recognize prohibited items and localize them in X-ray security images, which has recently received increasing attention. However, most exis

This paper studies a novel quantum federated learning (QFL) framework that leverages inherent quantum noise to enforce differential privacy (DP) and protect model updates from information leakage in c

Large Language Models (LLMs) and Vision-Language Models (VLMs) are typically equipped with multi-layered safety guardrails to prevent harmful content generation. Several attacks have been proposed to

Point cloud data, renowned for its capability in capturing the shapes and spatial structures of objects, has grown increasingly vital in domains such as scene reconstruction and virtual/augmented real

Radio frequency fingerprinting can complement cryptographic satellite authentication, but an unknown channel can make hardware parameters unidentifiable. We derive a leading-order Fisher information m

Federated learning (FL) enables collaborative model training without directly sharing data, thereby offering effective privacy guarantees. However, the decentralized architecture of FL makes it vulner

Robust reversible watermarking (RRW) against both common signal processing (CSP) and geometrical deformation (GD) remains challenging due to the stringent requirements for high robustness, large embed

Printed electronics (PE) products have been widely used in diverse applications, ranging from consumer electronics to automotive and healthcare. The mass manufacturability, flexibility, and low cost o