Acoustic Interference: New Jailbreak Paradigm Weaponizes Audio Latent Semantics Against Large Audio Language Models

arXiv·medium signal

Introduces a new attack class against Large Audio Language Models that exploits acoustic latent semantics rather than embedding text payloads in audio. Unlike previous approaches that treat audio as a carrier for malicious text, this technique manipulates the acoustic embedding space directly to bypass safety filters. As audio-capable models (GPT-5.5 voice, Gemini audio) reach mainstream deployment, this attack surface becomes increasingly relevant to practitioners building voice-enabled agents.