Yuexin Xuan

According to our database, Yuexin Xuan authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Federated Learning with Limited Node Labels.

Bisheng Tang, Xiaojun Chen, Shaopu Wang, Yuexin Xuan, Zhendong Zhao

CoRR, 2024

STMS: An Out-Of-Distribution Model Stealing Method Based on Causality.

Yunfei Yang, Xiaojun Chen, Zhendong Zhao, Yuexin Xuan, Bisheng Tang, Xiaoying Li

Proceedings of the International Joint Conference on Neural Networks, 2024

Graph Federated Learning with Center Moment Constraints for Node Classification.

Bisheng Tang, Xiaojun Chen, Shaopu Wang, Yuexin Xuan, Zhendong Zhao

Proceedings of the Workshop Proceedings of the 53rd International Conference on Parallel Processing, 2024

DualCOS: Query-Efficient Data-Free Model Stealing with Dual Clone Networks and Optimal Samples.

Yunfei Yang, Xiaojun Chen, Yuexin Xuan, Zhendong Zhao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Generalized heterophily graph data augmentation for node classification.

Bisheng Tang, Xiaojun Chen, Shaopu Wang, Yuexin Xuan, Zhendong Zhao

Neural Networks, November, 2023

Practical and General Backdoor Attacks Against Vertical Federated Learning.

Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Bisheng Tang, Ye Dong

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Unsupervised Graph Structure-Assisted Personalized Federated Learning.

Xiaoying Li, Xiaojun Chen, Bisheng Tang, Shaopu Wang, Yuexin Xuan, Zhendong Zhao

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

ACTSS: Input Detection Defense against Backdoor Attacks via Activation Subset Scanning.

Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Yangyang Ding, Jianming Lv

Proceedings of the International Joint Conference on Neural Networks, 2022

DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints.

Zhendong Zhao, Xiaojun Chen, Yuexin Xuan, Ye Dong, Dakui Wang, Kaitai Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Robust node embedding against graph structural perturbations.

Zhendong Zhao, Xiaojun Chen, Dakui Wang, Yuexin Xuan, Gang Xiong

Inf. Sci., 2021