Bin Zhu

According to our database, Bin Zhu authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Privacy-Preserving Statistical Analysis With Low Redundancy Over Task-Relevant Microdata.

Jingcheng Zhao, Kaiping Xue, Yingjie Xue, Meng Li, Bin Zhu, Shaoxian Yuan

IEEE Trans. Inf. Forensics Secur., 2025

Enabling Accurate and Efficient Privacy-Preserving Truth Discovery for Sparse Crowdsensing.

Shaoxian Yuan, Kaiping Xue, Bin Zhu, Jingcheng Zhao, Yaxuan Huang, Yuandong Xie, David S. L. Wei

IEEE Trans. Dependable Secur. Comput., 2025

SSE-CTC: Search Over Encrypted Data With Owner-Enforced and Complete Time Constraints.

Jinjiang Yang, Kaiping Xue, Feng Liu, Bin Zhu, Ruidong Li, Qibin Sun, Jun Lu

IEEE Trans. Dependable Secur. Comput., 2025

2024

Differentially Private Federated Learning With an Adaptive Noise Mechanism.

Rui Xue, Kaiping Xue, Bin Zhu, Xinyi Luo, Tianwei Zhang, Qibin Sun, Jun Lu

IEEE Trans. Inf. Forensics Secur., 2024

Collecting Partial Ordered Data With Local Differential Privacy.

Yaxuan Huang, Kaiping Xue, Bin Zhu, Jingcheng Zhao, Ruidong Li

IEEE Trans. Inf. Forensics Secur., 2024

Joint Distribution Analysis for Set-Valued Data With Local Differential Privacy.

Yaxuan Huang, Kaiping Xue, Bin Zhu, David S. L. Wei, Qibin Sun, Jun Lu

IEEE Trans. Inf. Forensics Secur., 2024

2023

Achieving Privacy-Preserving Outsourced SVM Training with Non-Linear Kernel.

Yuandong Xie, Jingcheng Zhao, Bin Zhu, Jia Li, Ruidong Li, Kaiping Xue

Proceedings of the IEEE Global Communications Conference, 2023

2022

An efficient data aggregation scheme with local differential privacy in smart grid.

Na Gai, Kaiping Xue, Bin Zhu, Jiayu Yang, Jianqing Liu, Debiao He

Digit. Commun. Networks, 2022

Privacy-preserving Truth Discovery with Outlier Detection in Mobile Crowdsensing Systems.

Jingchen Zhao, Bin Zhu, Jian Li, Shaoxian Yuan, Kaiping Xue, Xianchao Zhang

Proceedings of the IEEE Global Communications Conference, 2022

2021

InPPTD: A Lightweight Incentive-Based Privacy-Preserving Truth Discovery for Crowdsensing Systems.

Kaiping Xue, Bin Zhu, Qingyou Yang, Na Gai, David S. L. Wei, Nenghai Yu

IEEE Internet Things J., 2021

A Fog-Aided Privacy-Preserving Truth Discovery Framework over Crowdsensed Data Streams.

Shaoxian Yuan, Bin Zhu, Feng Liu, Jian Li, Kaiping Xue

Proceedings of the IEEE Global Communications Conference, 2021

Privacy-Preserving Truth Discovery for Sparse Data in Mobile Crowdsensing Systems.

Feng Liu, Bin Zhu, Shaoxian Yuan, Jian Li, Kaiping Xue

Proceedings of the IEEE Global Communications Conference, 2021

2020

An Efficient and Robust Data Aggregation Scheme Without a Trusted Authority for Smart Grid.

Kaiping Xue, Bin Zhu, Qingyou Yang, David S. L. Wei, Mohsen Guizani

IEEE Internet Things J., 2020

An Efficient Data Aggregation Scheme with Local Differential Privacy in Smart Grid.

Na Gai, Kaiping Xue, Peixuan He, Bin Zhu, Jianqing Liu, Debiao He

Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020

FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions.

Shaohua Li, Kaiping Xue, Bin Zhu, Chenkai Ding, Xindi Gao, David S. L. Wei, Tao Wan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020