ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio-Language Models
机构 * Beijing University of Posts and Telecommunications(北京邮电大学) ; National University of Singapore(新加坡国立大学) ; CSIRO’s Data61(CSIRO数据61) ; Responsible AI Research (RAIR) Centre, The University of Adelaide(负责任人工智能研究(RAIR)中心,阿德莱德大学) ; Tsinghua University(清华大学)
专题命中 音频语音多模态 :multimodal(abstract)
Comments Accepted to NeurIPS 2025