AINeutralarXiv – CS AI · Mar 126/10
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Probabilistic Verification of Voice Anti-Spoofing Models
Researchers have developed PV-VASM, a probabilistic framework for verifying the robustness of voice anti-spoofing models against deepfake attacks. The model-agnostic approach estimates misclassification probability under various speech synthesis techniques including text-to-speech and voice cloning, providing formal robustness guarantees against unseen generation methods.