Sen Zhang

According to our database, Sen Zhang authored at least 23 papers between 2018 and 2026.

Collaborative distances:

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

2026

United We Defend: Collaborative Membership Inference Defenses in Federated Learning.

Li Bai, Junxu Liu, Sen Zhang, Xinwei Zhang, Qingqing Ye, Haibo Hu

CoRR, January, 2026

Adversarial Signed Graph Learning with Differential Privacy.

Haobin Ke, Sen Zhang, Qingqing Ye, Xun Ran, Haibo Hu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

ProVFL: Property Inference Attacks Against Vertical Federated Learning.

Li Bai, Xinwei Zhang, Sen Zhang, Qingqing Ye, Haibo Hu

IEEE Trans. Inf. Forensics Secur., 2025

Diffusion-Based Heterogeneous Graph Synthesis Under Local Differential Privacy.

Lihe Hou, Weiwei Ni, Nan Fu, Dongyue Zhang, Ruyu Zhang, Sen Zhang

IEEE Trans. Dependable Secur. Comput., 2025

Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts.

Li Bai, Qingqing Ye, Xinwei Zhang, Sen Zhang, Zi Liang, Jianliang Xu, Haibo Hu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy.

Sen Zhang, Haibo Hu, Qingqing Ye, Jianliang Xu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

AdvSGM: Differentially Private Graph Learning via Adversarial Skip-Gram Model.

Sen Zhang, Qingqing Ye, Haibo Hu, Jianliang Xu

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Structure-Preference Enabled Graph Embedding Generation Under Differential Privacy.

Sen Zhang, Qingqing Ye, Haibo Hu

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

PrivIM: Differentially Private Graph Neural Networks for Influence Maximization.

Renxuan Hou, Qingqing Ye, Xun Ran, Sen Zhang, Haibo Hu

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation.

Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Alignment-Aware Model Extraction Attacks on Large Language Models.

Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu

CoRR, 2024

2023

WDP-GAN: Weighted Graph Generation With GAN Under Differential Privacy.

Lihe Hou, Weiwei Ni, Sen Zhang, Nan Fu, Dongyue Zhang

IEEE Trans. Netw. Serv. Manag., December, 2023

Community-Preserving Social Graph Release with Node Differential Privacy.

Sen Zhang, Weiwei Ni, Nan Fu

J. Comput. Sci. Technol., December, 2023

PPDU: dynamic graph publication with local differential privacy.

Lihe Hou, Weiwei Ni, Sen Zhang, Nan Fu, Dongyue Zhang

Knowl. Inf. Syst., July, 2023

Multidimensional grid-based clustering with local differential privacy.

Nan Fu, Weiwei Ni, Haibo Hu, Sen Zhang

Inf. Sci., April, 2023

Wdt-SCAN: Clustering decentralized social graphs with local differential privacy.

Lihe Hou, Weiwei Ni, Sen Zhang, Nan Fu, Dongyue Zhang

Comput. Secur., 2023

GC-NLDP: A graph clustering algorithm with local differential privacy.

Nan Fu, Weiwei Ni, Sen Zhang, Lihe Hou, Dongyue Zhang

Comput. Secur., 2023

Block-HRG: Block-based differentially private IoT networks release.

Lihe Hou, Weiwei Ni, Sen Zhang, Nan Fu, Dongyue Zhang

Ad Hoc Networks, 2023

Differentially Private Social Graph Publishing With Nearest Neighbor Structure Preservation.

Xinjian Zhao, Fei Xia, Guoquan Yuan, Sen Zhang, Shi Chen, Weiwei Ni

IEEE Access, 2023

2021

Differentially private graph publishing with degree distribution preservation.

Sen Zhang, Weiwei Ni, Nan Fu

Comput. Secur., 2021

2020

Community Preserved Social Graph Publishing with Node Differential Privacy.

Sen Zhang, Weiwei Ni, Nan Fu

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Graph Embedding Matrix Sharing With Differential Privacy.

Sen Zhang, Weiwei Ni

IEEE Access, 2019

2018

Generalization Based Privacy-Preserving Provenance Publishing.

Jian Wu, Weiwei Ni, Sen Zhang

Proceedings of the Web Information Systems and Applications, 2018