September 2026

With the rapid growth of edited video content, perceptual video hashing has become increasingly important for content authentication. Most existing methods often rely on predefined feature extraction

Decision trees are widely used in various domains, such as user behavior analysis and financial risk assessment. Recently, increasing concerns about data privacy have driven the development of secure

Currently, safety accidents and traffic violations related to ADS are frequent, posing a severe threat to road safety, which are largely caused by logical flaws within ADS. Unlike traditional software

The rapid expansion of software systems and the growing number of reported vulnerabilities have emphasized the importance of accurately identifying vulnerable code segments. Traditional methods for vu

Skeleton-based video anomaly detection has gained significant attention in security and forensics applications due to its privacy-preserving properties that abstract human motion without capturing ide

Electric Vehicles (EVs) now function as both energy consumers and producers within the energy internet-enabled smart grid, enabling bidirectional energy exchange with the grid. To facilitate secure Ve

Text-to-image (T2I) models can be exploited to produce unsafe images. Existing safety measures, e.g., content moderation or model alignment, can be weakened by adversaries who attempt to restore unsaf

Optical Coherence Tomography (OCT) has emerged as a powerful technique for capturing subcutaneous internal fingerprints (IF) and internal sweat pores (ISP), offering enhanced security over surface bio

As Retrieval-Augmented Generation (RAG) brings Large Language Models (LLMs) into contact with proprietary and user-specific knowledge bases in sensitive domains, protecting the privacy of both queries

In Incorrect-Plaintext Attacks (IPA), a malicious Data Owner (DO) compromises system security by encrypting incorrect plaintext, while a malicious Data User (DU) undermines system fairness by falsely