作者位次 #3/4ACL 2026Poster· Natural Language Processing
Protecting Bystander Privacy via Selective Hearing in Audio LLM s
Xiao Zhan · Guangzhi Sun · Jose Such · Phil Woodland
摘要
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 introduce SH-Bench, the first benchmark designed to evaluate sel...