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# Summary Voice AI systems are susceptible to adversarial attacks using ultrasonic and inaudible sounds that humans cannot hear but can manipulate the models' behavior. Researchers have demonstrated that these hidden audio attacks can successfully hijack voice AI systems, posing a significant security vulnerability for applications relying on voice recognition and control. The findings highlight the need for improved security measures to protect voice AI models from such acoustic-based threats.
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