Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning

5 Jun 2020Haibin WuAndy T. LiuHung-yi Lee

High-performance anti-spoofing models for automatic speaker verification (ASV), have been widely used to protect ASV by identifying and filtering spoofing audio that is deliberately generated by text-to-speech, voice conversion, audio replay, etc. However, it has been shown that high-performance anti-spoofing models are vulnerable to adversarial attacks... (read more)

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