Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Luo, Tianyue"'
Autor:
Ling, Xiang, Wu, Zhiyu, Wang, Bin, Deng, Wei, Wu, Jingzheng, Ji, Shouling, Luo, Tianyue, Wu, Yanjun
Given the remarkable achievements of existing learning-based malware detection in both academia and industry, this paper presents MalGuise, a practical black-box adversarial attack framework that evaluates the security risks of existing learning-base
Externí odkaz:
http://arxiv.org/abs/2407.02886
Autor:
Zhang, Rui, Luo, Tianyue, Yang, Weidong, Fei, Ben, Xu, Jingyi, Zhou, Qingyuan, Liu, Keyi, He, Ying
3D Gaussian Splatting (3D-GS) has made a notable advancement in the field of neural rendering, 3D scene reconstruction, and novel view synthesis. Nevertheless, 3D-GS encounters the main challenge when it comes to accurately representing physical refl
Externí odkaz:
http://arxiv.org/abs/2406.05852
Autor:
Chen, Yuxiao, Wu, Jingzheng, Ling, Xiang, Li, Changjiang, Rui, Zhiqing, Luo, Tianyue, Wu, Yanjun
In recent years, large language models (LLMs) have demonstrated substantial potential in addressing automatic program repair (APR) tasks. However, the current evaluation of these models for APR tasks focuses solely on the limited context of the singl
Externí odkaz:
http://arxiv.org/abs/2403.00448
Point cloud data has been extensively studied due to its compact form and flexibility in representing complex 3D structures. The ability of point cloud data to accurately capture and represent intricate 3D geometry makes it an ideal choice for a wide
Externí odkaz:
http://arxiv.org/abs/2305.04691
Autor:
Fei, Ben, Lyu, Zhaoyang, Pan, Liang, Zhang, Junzhe, Yang, Weidong, Luo, Tianyue, Zhang, Bo, Dai, Bo
Existing image restoration methods mostly leverage the posterior distribution of natural images. However, they often assume known degradation and also require supervised training, which restricts their adaptation to complex real applications. In this
Externí odkaz:
http://arxiv.org/abs/2304.01247
Publikováno v:
In Cities January 2025 156
Autor:
Ling, Xiang, Wu, Lingfei, Zhang, Jiangyu, Qu, Zhenqing, Deng, Wei, Chen, Xiang, Qian, Yaguan, Wu, Chunming, Ji, Shouling, Luo, Tianyue, Wu, Jingzheng, Wu, Yanjun
Malware has been one of the most damaging threats to computers that span across multiple operating systems and various file formats. To defend against ever-increasing and ever-evolving malware, tremendous efforts have been made to propose a variety o
Externí odkaz:
http://arxiv.org/abs/2112.12310
Autor:
Ling, Xiang, Wu, Lingfei, Zhang, Jiangyu, Qu, Zhenqing, Deng, Wei, Chen, Xiang, Qian, Yaguan, Wu, Chunming, Ji, Shouling, Luo, Tianyue, Wu, Jingzheng, Wu, Yanjun
Publikováno v:
In Computers & Security May 2023 128
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.