新研究表明，包括大型音频语言模型（LALMs）在内的AI语音系统容易受到隐藏音频攻击。这些攻击将人耳无法察觉的声音嵌入音频片段，使恶意行为者能够以高成功率操纵AI模型执行未经授权的命令。该技术被称为AudioHijack，即使在用户提供不同指令的情况下，也能欺骗模型执行敏感的网络搜索或发送电子邮件等操作。 AI
影响 AI语音系统易受人耳无法察觉的音频操纵，对用户数据和设备控制构成风险。
排序理由 该集群详细介绍了关于AI语音系统安全漏洞的新研究。
AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →
<img src="https://spectrum.ieee.org/media-library/conceptual-illustration-of-audio-waves-forming-the-shape-of-a-skull-and-crossbones.jpg?id=66745303&width=1245&height=700&coordinates=0%2C62%2C0%2C63" /><br /><br /><p>AI-powered voice and audio tools are becoming incre…
🗣️ Hidden Voice Glitches Could Hijack Audio AI Tools ｢ Many previous attacks on generative models required the attacker to have complete control over both the final audio input and original instructions given to the model, essentially acting as the user. Here, the attacker manipu…
Voice AI Systems Are Vulnerable to Hidden Audio Attacks https:// spectrum.ieee.org/voice-ai-aud io-attacks # ai
Voice AI Systems Are Vulnerable to Hidden Audio Attacks https://spectrum.ieee.org/voice-ai-audio-attacks # HackerNews # Tech # AI