1 code implementation • 21 Nov 2023 • Yueqian Lin, Jingyang Zhang, Yiran Chen, Hai Li
Natural Adversarial Examples (NAEs), images arising naturally from the environment and capable of deceiving classifiers, are instrumental in robustly evaluating and identifying vulnerabilities in trained models.
1 code implementation • 25 Sep 2023 • Huali Zhou, Yueqian Lin, Yao Shi, Peng Sun, Ming Li
We fuse monolingual singing datasets with open-source singing voice conversion techniques to generate bilingual singing voices while also exploring the potential use of bilingual speech data.
1 code implementation • 15 Jun 2023 • Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li
Out-of-Distribution (OOD) detection is critical for the reliable operation of open-world intelligent systems.
Out-of-Distribution Detection Out of Distribution (OOD) Detection