LogMILP enables both bag-level anomaly detection and instance-level localization in logs using only bag-level labels via prototype-guided structural modeling and counterfactual perturbation regularization.
Confident classification via template representation learning
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Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation
LogMILP enables both bag-level anomaly detection and instance-level localization in logs using only bag-level labels via prototype-guided structural modeling and counterfactual perturbation regularization.