A diffusion-based counterfactual explanation method for network intrusion detection, with distilled fast sampling and decision-tree global rules, is evaluated against six baselines on three NIDS datasets.
Deep learning methods in network intrusion detection: A survey and an objective comparison
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Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection
A diffusion-based counterfactual explanation method for network intrusion detection, with distilled fast sampling and decision-tree global rules, is evaluated against six baselines on three NIDS datasets.