Sukanya Patra

An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination

Unsupervised anomaly detection (AD) methods typically assume clean training data, yet real-world datasets often contain undetected or mislabeled anomalies, leading to significant performance degradation. Existing solutions require access to the training pipelines, data or prior knowledge of the prop…