• Federated Explainability for Network Anomaly Characterization 

      Zurutuza, Urko (ACM, 2023)
      Machine learning (ML) based systems have shown promising results for intrusion detection due to their ability to learn complex patterns. In particular, unsupervised anomaly detection approaches offer practical advantages ...