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Lingqi Guo

1 accepted papers

2025

Meta-UAD: A Meta-Learning Scheme for User-level Network Traffic Anomaly Detection

ICASSP 2025accepted

Accuracy anomaly detection in user-level network traffic is crucial for network security. Compared with existing models that passively detect specific anomaly classes with large labeled training samples, user-level network traffic contains sizeable new anomaly classes with few labeled samples and ha…

Cited by 0SourceScholar