nCMD is a benign-anchored feature selection method that matches or exceeds classical baselines in macro F1-score for imbalanced network intrusion detection on four benchmark datasets.
Feature selection for network intrusion detection,
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Reasoning in large output spaces proceeds via shortlisting then fine-grained reasoning; this characterization enables a mechanistic distillation strategy that outperforms standard distillation.