audio adversarial attacks

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Audio adversarial attacks are a growing concern in voice AI security, as demonstrated by the AudioHijack technique presented at the IEEE Symposium on Security and Privacy in May 2026. Researchers from Zhejiang University, the National University of Singapore, and Nanyang Technological University showed how hidden audio prompts can inject unauthorized instructions into voice AI systems, manipulating them into actions. This attack exploits the fact that audio is not just content for analysis but a command surface that users cannot easily inspect. As voice agents evolve from transcription to tool use, defending against audio adversarial attacks becomes critical for maintaining security in AI-driven systems.
  1. ChatGPT

    AudioHijack: Hidden-Audio Prompt Injection Can Trick Voice AI Into Actions

    Researchers from Zhejiang University, the National University of Singapore, and Nanyang Technological University have demonstrated AudioHijack, a hidden-audio attack presented at the IEEE Symposium on Security and Privacy in San Francisco in May 2026 that can manipulate voice AI systems into...
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