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cs.SD2026
Evidence Subspace Projection: Measuring How Much Evidence Explains Deepfake Detection in Self-Supervised Speech Models
Yixuan Xiao, Cheng-Wei Lin, Xin Wang +5
Self-supervised learning (SSL) models are widely used as feature extractors for state-of-the-art audio deepfake detection, but it remains unclear how to directly and quantitatively…
cs.SD2026
DeepFense: A Unified, Modular, and Extensible Framework for Robust Deepfake Audio Detection
Yassine El Kheir, Arnab Das, Yixuan Xiao +6
Speech deepfake detection is a well-established research field with different models, datasets, and training strategies. However, the lack of standardized implementations and evalu…
cs.SD2024★ 1 cited
Improving Generalization for AI-Synthesized Voice Detection
Hainan Ren, Li Lin, Chun-Hao Liu +2
AI-synthesized voice technology has the potential to create realistic human voices for beneficial applications, but it can also be misused for malicious purposes. While existing AI…