7 citations · 8 across the 4 of their papers we have counts for
4 papers
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning
Zhaoliang Chen, Lele Fu, Jie Yao +3
In practical applications, multi-view data depicting objectives from assorted perspectives can facilitate the accuracy increase of learning algorithms. However, given multi-view da…
Federated Learning based on Defending Against Data Poisoning Attacks in IoT
Jiayin Li, Wenzhong Guo, Xingshuo Han +2
The rapidly expanding number of Internet of Things (IoT) devices is generating huge quantities of data, but the data privacy and security exposure in IoT devices, especially in the…
Wasserstein Adversarial Learning based Temporal Knowledge Graph Embedding
Yuanfei Dai, Wenzhong Guo, Carsten Eickhoff
Research on knowledge graph embedding (KGE) has emerged as an active field in which most existing KGE approaches mainly focus on static structural data and ignore the influence of…
Enhance transferability of adversarial examples with model architecture
Mingyuan Fan, Wenzhong Guo, Shengxing Yu +2
Transferability of adversarial examples is of critical importance to launch black-box adversarial attacks, where attackers are only allowed to access the output of the target model…