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Xiayan Ji

1 accepted papers

2024

AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties

NeurIPS 2024poster

Anomaly detection is widely used for identifying critical errors and suspicious behaviors, but current methods lack interpretability. We leverage common properties of existing methods and recent advances in generative models to introduce counterfactual explanations for anomaly detection. Given an in…