September 2026

Intrusion detection systems (IDS) are crucial for protecting the security of network devices. In a dynamic network environment, network attack behavior is constantly changing. IDS developed using clos

As textual adversarial attacks pose risks to natural language processing models, adversarial training is often utilized to improve robustness of these systems. In a strict black-box scenario, most que

Indoor presence detection is essential for security monitoring in smart spaces, supporting applications such as access control and anomaly detection. While Wi-Fi Channel State Information (CSI) sensin

In this work, we investigate the task of Federated Generalized Category Discovery (Fed-GCD), which aims to leverage labeled data from known classes to cluster unlabeled samples from both known and unk

Dynamic hand gestures encode rich physiological and behavioral characteristics, providing a promising biometric trait for reliable authentication. Existing studies primarily improve gesture authentica

Android malware presents a persistent threat to users’ privacy and data integrity. To combat this, researchers have proposed machine learning-based (ML-based) Android malware detection (AMD) methods.

Person re-identification (Re-ID), as a core technology for target tracking and identity authentication, is widely applied in intelligent surveillance and security systems. In recent years, radio frequ

Concurrency bugs arising from asynchronous-synchronous interactions pose a serious and underexplored threat to OS kernel security. Conventional detection methods often fail to capture the delayed trig

Zero-shot voice conversion (ZSVC) enables timbre transfer from unseen speakers without fine-tuning, raising serious risks of audio misuse and copyright infringement. To protect potential victims of su

The explosive growth of multimedia data has established cross-modal retrieval as a critical research frontier, with cross-modal hashing (CMH) emerging as an effective technique for managing large-scal