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Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

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

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

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

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

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

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

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

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

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

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

Accurate network traffic classification is critical for defending against evolving cyber threats. However, mainstream methods relying solely on intra-flow features fail to distinguish malicious traffi

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

Urban-scale video analytics systems hold significant promise for traffic monitoring, pedestrian flow estimation and public safety. However, the acquisition and processing of spatio-temporal data extra

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

Multivariate Time Series (MTS) anomaly detection is critical for various applications. Yet, most existing methods rely on forecasting or reconstruction-based frameworks, which suffer from inherent unc

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

Accurate IoT device identification is critical to network forensics, access control, and anomaly detection in large-scale, security-sensitive environments. Federated learning (FL) provides a decentral

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

Hybrid kernel fuzzing combines kernel fuzzing and symbolic execution: symbolic execution resolves hard-to-reach branch conditions, while kernel fuzzing mitigates path explosion. This collaboration has