Zobrazeno 1 - 10
of 256
pro vyhledávání: '"LUO Yuhao"'
The generalization ability of deepfake detectors is vital for their applications in real-world scenarios. One effective solution to enhance this ability is to train the models with manually-blended data, which we termed "blendfake", encouraging model
Externí odkaz:
http://arxiv.org/abs/2408.17052
As a vital component in autonomous driving, accurate trajectory prediction effectively prevents traffic accidents and improves driving efficiency. To capture complex spatial-temporal dynamics and social interactions, recent studies developed models b
Externí odkaz:
http://arxiv.org/abs/2404.08004
Autor:
Luo, Yuhao, Ma, Shiwei, Nie, Mingjun, Peng, Changping, Lin, Zhangang, Shao, Jingping, Xu, Qianfang
Cross-domain recommendation (CDR) is an important method to improve recommender system performance, especially when observations in target domains are sparse. However, most existing cross-domain recommendations fail to fully utilize the target domain
Externí odkaz:
http://arxiv.org/abs/2401.11705
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection
Deepfake detection faces a critical generalization hurdle, with performance deteriorating when there is a mismatch between the distributions of training and testing data. A broadly received explanation is the tendency of these detectors to be overfit
Externí odkaz:
http://arxiv.org/abs/2311.11278
Replay attack is one of the most effective and simplest voice spoofing attacks. Detecting replay attacks is challenging, according to the Automatic Speaker Verification Spoofing and Countermeasures Challenge 2021 (ASVspoof 2021), because they involve
Externí odkaz:
http://arxiv.org/abs/2310.05813
Autor:
Wang, Li, Li, Jiaqi, Luo, Yuhao, Zheng, Jiahao, Wang, Lei, Li, Hao, Xu, Ke, Fang, Chengfang, Shi, Jie, Wu, Zhizheng
It is known that deep neural networks are vulnerable to adversarial attacks. Although Automatic Speaker Verification (ASV) built on top of deep neural networks exhibits robust performance in controlled scenarios, many studies confirm that ASV is vuln
Externí odkaz:
http://arxiv.org/abs/2310.05369
Publikováno v:
In Fish and Shellfish Immunology October 2024 153
Publikováno v:
In Electric Power Systems Research September 2024 234
Publikováno v:
Journal of Beijing University of Traditional Chinese Medicine. 2024, Vol. 47 Issue 8, p1152-1159. 8p.
Publikováno v:
In Journal of Energy Storage 1 August 2024 95