30 citations · 51 across the 8 of their papers we have counts for
4 papers · 1 filter
Anomaly Detection in Event-triggered Traffic Time Series via Similarity Learning
Shaoyu Dou, Kai Yang, Yang Jiao +2
Time series analysis has achieved great success in cyber security such as intrusion detection and device identification. Learning similarities among multiple time series is a cruci…
Robust Group Anomaly Detection for Quasi-Periodic Network Time Series
Kai Yang, Shaoyu Dou, Pan Luo +2
Many real-world multivariate time series are collected from a network of physical objects embedded with software, electronics, and sensors. The quasi-periodic signals generated by…
Evaluating Scoring Bias in LLM-as-a-Judge
Qingquan Li, Shaoyu Dou, Kailai Shao +2
The "LLM-as-a-Judge" paradigm, using Large Language Models (LLMs) as automated evaluators, is pivotal to LLM development, offering scalable feedback for complex tasks. However, the…
Fog Intelligence for Network Anomaly Detection
Kai Yang, Hui Ma, Shaoyu Dou
Anomalies are common in network system monitoring. When manifested as network threats to be mitigated, service outages to be prevented, and security risks to be ameliorated, detect…