Protecting Bystander Privacy via Selective Hearing in Audio LLMs

ArXi:2512.06380v3 Announce Type: replace-cross Audio Large language models (LLMs) are increasingly deployed in the real world, where they inevitably capture speech from unintended nearby bystanders, raising privacy risks that existing benchmarks and defences did not consider. We