3 papers
cs.AI2026
Disentangling Multi-View Scanning in Mamba for Network Traffic Anomaly Detection
Xinglin Lian, Chengtai Cao, Ting Zhong +1
Network Traffic Anomaly Detection (NTAD) is a critical task in cybersecurity, yet timely and accurate anomaly detection remains challenging. Mamba has emerged as a particularly pro…
cs.CR2026
Decompose to Understand, Fuse to Detect: Frequency-Decoupled Anomaly Detection for Encrypted Network Traffic
Xinglin Lian, Chengtai Cao, Ting Zhong +3
Network traffic anomaly detection represents a critical cybersecurity task, yet widespread encryption makes this task increasingly challenging. In response, image-based methods tha…
cs.LG2024
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao, Fan Zhou, Yurou Dai +2
Data augmentation (DA) is indispensable in modern machine learning and deep neural networks. The basic idea of DA is to construct new training data to improve the model's generaliz…