Robust node embedding against graph structural perturbations. - Zhendong Zhao; Xiaojun Chen 004; Dakui Wang; Yuexin Xuan; Gang Xiong (Inf. Sci., 2021)

DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints. - Zhendong Zhao; Xiaojun Chen 004; Yuexin Xuan; Ye Dong; Dakui Wang; Kaitai Liang (CVPR, 2022)

ACTSS: Input Detection Defense against Backdoor Attacks via Activation Subset Scanning. - Yuexin Xuan; Xiaojun Chen 004; Zhendong Zhao; Yangyang Ding; Jianming Lv (IJCNN, 2022)

Unsupervised Graph Structure-Assisted Personalized Federated Learning. - Xiaoying Li; Xiaojun Chen 004; Bisheng Tang; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (ECAI, 2023)

Practical and General Backdoor Attacks Against Vertical Federated Learning. - Yuexin Xuan; Xiaojun Chen 004; Zhendong Zhao; Bisheng Tang; Ye Dong (ECML/PKDD (2), 2023)

Generalized heterophily graph data augmentation for node classification. - Bisheng Tang; Xiaojun Chen 004; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (Neural Networks, 2023)

Lightweight Secure Aggregation for Personalized Federated Learning with Backdoor Resistance. - Tingyu Fan; Xiaojun Chen; Ye Dong; Xudong Chen; Yuexin Xuan; Weizhan Jing (ACSAC, 2024)

DualCOS: Query-Efficient Data-Free Model Stealing with Dual Clone Networks and Optimal Samples. - Yunfei Yang 001; Xiaojun Chen 004; Yuexin Xuan; Zhendong Zhao (ICME, 2024)

Graph Federated Learning with Center Moment Constraints for Node Classification. - Bisheng Tang; Xiaojun Chen 004; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (ICPP Workshops, 2024)

STMS: An Out-Of-Distribution Model Stealing Method Based on Causality. - Yunfei Yang 001; Xiaojun Chen 004; Zhendong Zhao; Yuexin Xuan; Bisheng Tang; Xiaoying Li (IJCNN, 2024)

Federated Learning with Limited Node Labels. - Bisheng Tang; Xiaojun Chen 004; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (CoRR, 2024)

Buster: Incorporating Backdoor Attacks into Text Encoder to Mitigate NSFW Content Generation. - Xin Zhao; Xiaojun Chen 004; Yuexin Xuan; Zhendong Zhao (CoRR, 2024)

Take Attention Inside: Neighbor Pair Graph Contrastive Learning. - Bisheng Tang; Xiaojun Chen; Shaopu Wang; Yuexin Xuan; Zhendong Zhao (ICASSP, 2025)

Model-Guardian: Protecting against Data-Free Model Stealing Using Gradient Representations and Deceptive Predictions. - Yunfei Yang 001; Xiaojun Chen 004; Yuexin Xuan; Zhendong Zhao (CoRR, 2025)