Hugging Face hosts a large open-source ecosystem in which models may reuse upstream models, datasets, tools, and licenses. Yet its structured metadata offers only incomplete coverage of evaluation results, code resources, intended uses, and risks, while model-card READMEs often document these facts in natural language....
Shu-Jing Li, Xiong-Ming Zhang, Yu-Xin Hou et al.· Symposium on Designing Inter...· 0 citations
CAFAD is proposed, a plug-and-play detection framework that combines multi-domain acoustic feature fusion and temporal pyramid matching for variable-length adversarial audio detection that achieves an average detection accuracy of 99.25%, with a false positive rate of 1.00% on benign samples.