Zobrazeno 1 - 10
of 415
pro vyhledávání: '"Li, Tianxiang"'
Recent research has shown that bit-flip attacks (BFAs) can manipulate deep neural networks (DNNs) via DRAM Rowhammer exploitations. Existing attacks are primarily launched over high-level DNN frameworks like PyTorch and flip bits in model weight file
Externí odkaz:
http://arxiv.org/abs/2309.06223
Autor:
Wang, Jinpeng, Zeng, Ziyun, Wang, Yunxiao, Wang, Yuting, Lu, Xingyu, Li, Tianxiang, Yuan, Jun, Zhang, Rui, Zheng, Hai-Tao, Xia, Shu-Tao
The goal of sequential recommendation (SR) is to predict a user's potential interested items based on her/his historical interaction sequences. Most existing sequential recommenders are developed based on ID features, which, despite their widespread
Externí odkaz:
http://arxiv.org/abs/2308.11175
Deep Neural Networks (DNNs) are vulnerable to adversarial examples, while adversarial attack models, e.g., DeepFool, are on the rise and outrunning adversarial example detection techniques. This paper presents a new adversarial example detector that
Externí odkaz:
http://arxiv.org/abs/2305.03173
Publikováno v:
Zhejiang dianli, Vol 43, Iss 7, Pp 76-85 (2024)
As new energy sources scale up for integration into urban power grids, there is a growing spatiotemporal mismatch between supply and demand in power systems. This mismatch could gradually undermine the static voltage stability of the power systems
Externí odkaz:
https://doaj.org/article/c0472b763aaf47bc9aad13db0992c8b5
Partial label learning (PLL) learns from training examples each associated with multiple candidate labels, among which only one is valid. In recent years, benefiting from the strong capability of dealing with ambiguous supervision and the impetus of
Externí odkaz:
http://arxiv.org/abs/2210.11194
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2024 136 Part A
Publikováno v:
In Materials Today Communications August 2024 40
Publikováno v:
In Tribology International August 2024 196
Autor:
Duan, Haotian, Li, Wenyang, Ran, Lixiu, Zhu, Fulong, Li, Tianxiang, Miao, Ming, Yin, Wen-Jin, Wang, Xin, Fu, Yongzhu
Publikováno v:
In Journal of Energy Chemistry December 2024 99:292-299
Publikováno v:
In Tribology International December 2024 200