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The Hong Kong University of Science and Technology (Guangzhou)
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SSL-based audio deepfake detectors consistently fail on out-of-distribution attacks because static layer aggregation blinds them to localized spoofing artifacts鈥攁 vulnerability resolved here through dynamic, sample-adaptive layer gating and multi-granularity feature fusion.
A new benchmark reveals that existing defect detection methods falter in novel production scenarios, highlighting the urgent need for severity-aware assessments in manufacturing.
