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Found 2 papers, 1 papers with code
Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional Normalizing Flows
We consider the problem of anomaly network traffic detection and propose a three-stage anomaly detection framework using only normal traffic.
Multi-view Multi-label Anomaly Network Traffic Classification based on MLP-Mixer Neural Network
In this paper, we propose an MLP-Mixer based multi-view multi-label neural network for network traffic classification.
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