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.
Alonso, Alejandro Catala, and Martin Pereira-Farina
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
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.