Backdoor Attack against Log Anomaly Detection Models
Backdoor attack framework exposing vulnerabilities in log anomaly detection models.
Achieving Counterfactual Explanation for Sequence Anomaly Detection
Counterfactual explanations for sequence anomaly detection, providing interpretable insights.
Backdoor Attack Against One-Class Sequential Anomaly Detection Models
Clean-label backdoor attack against one-class sequential anomaly detection models.
Explainable Sequential Anomaly Detection via Prototypes
Prototype-based explainable sequential anomaly detection.
Sequential Anomaly Detection with Local and Global Explanations
Sequential anomaly detection with local and global explanations.
InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data
Prototype-based framework for interpretable anomaly detection in sequential log data.
Xiao Han
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1 min read