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Arxiv
1d
169
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Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems
- The paper discusses the issue of user privacy in automatic speech recognition (ASR) systems.
- It proposes a framework called AudioShield for protecting live users' speech against ASR systems.
- Central to the framework is the concept of Transferable Universal Adversarial Perturbations in the Latent Space (LS-TUAP).
- Comprehensive evaluation demonstrates the superiority of AudioShield in protecting user privacy and improving audio quality.
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