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Author

Jun-Qin Cao

2 papers indexed here

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2026

FLADD: Federated Learning-Based Privacy Protection for Audio Deepfake Detection

Current research on Audio Deepfake Detection (ADD) mainly relies on centralized training paradigms, while paying limited attention to privacy preservation under data localization regulations or user-consent constraints. In real-world scenarios, centralized data sharing may expose sensitive user information and hinder t...

Cunhang Fan, Zhi-Qiang Tang, Jun Xue et al. · 0 citations
Preprint Aug 2026

Beyond Speech: Dual-Domain SSL Fusion for Unified All-Type Audio Deepfake Detection

Unified all-type audio deepfake detection aims to determine whether an input clip is real or fake when its audio type may be speech, environmental sound, singing voice, or music. Existing speech-centric or type-dependent solutions are insufficient for this setting because the test-time audio type is unknown, while the...

Cunhang Fan, Jun-Qin Cao, Tian Gao et al. · 0 citations

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