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Current AUC metrics can mislead deepfake detector evaluations, but Cross-AUC reveals the true impact of domain shifts on performance.
Forget hand-crafted anomaly injections: ASTER leverages a latent-space decoder and LLM-enhanced representations to generate tailored pseudo-anomalies, setting a new SOTA for unsupervised time-series anomaly detection.
