September 2026

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

In this paper, we study advanced persistent threats (APT) with an insider who has different pReferences. To address the uncertainty of the insider’s preference, we propose BG-FlipIn, a three-player Ba

Ransomware has evolved into system-level attacks that distribute malicious actions across seemingly normal processes, rendering process-level detection ineffective. However, system-wide detection aggr

Machine unlearning (MU) aims to remove the influence of selected data from trained models, offering an efficient alternative to full retraining. With the rise of increasingly stringent privacy regulat

Distributed Learning (DL) is a fundamental paradigm for large-scale model training in mobile and edge computing. However, its practical adoption is often plagued by performance degradation due to stra

The purpose of face enhancement tasks is to improve the recognition of faces, thus adapting to diverse visualization and recognition demands. However, the performance of the majority methods is drasti

Iris recognition in unconstrained near-eye scenarios faces significant challenges due to off-axis gaze and occlusions, where traditional geometry-dependent pipelines relying on explicit segmentation b

Integrating data deduplication with integrity auditing offers a practical approach to reducing cloud storage cost while safeguarding the integrity of outsourced data. Most of the existing schemes atte