3 papers
cs.LG2026
Adaptive NAD: Online and Self-adaptive Unsupervised Network Anomaly Detector
Yachao Yuan, Yu Huang, Yingwen Wu
The widespread usage of the Internet of Things (IoT) has raised the risks of cyber threats; thus, developing Anomaly Detection Systems (ADSs) that can adapt to evolving traffic pat…
cs.LG2025
AnomalyAID: Reliable Interpretation for Semi-supervised Network Anomaly Detection
Yachao Yuan, Yu Huang, Yingwen Wu +1
Semi-supervised Learning plays a crucial role in network anomaly detection applications, however, learning anomaly patterns with limited labeled samples is not easy. Additionally,…
cs.CR2025
Local Differential Privacy for Tensors in Distributed Computing Systems
Yachao Yuan, Xiao Tang, Yu Huang +2
Tensor-valued data, increasingly common in distributed big data applications like autonomous driving and smart healthcare, poses unique challenges for privacy protection due to its…