Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection
Log Reconstruction and Distance (LoRD), a lightweight post-hoc calibration framework for reliable log anomaly detection, is proposed and demonstrates that LoRD consistently improves confidence reliability and substantially reduces overconfident anomaly-related errors without sacrificing anomaly detection performance.
Bin Li, Dongdong Wang, Siyang Lu
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