Bin Zhu

19 papers A* 1B 4Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
FESCAT: Function Secret Sharing Based Efficient Secure Collaborative Analysis of Time Series Data.
IEEE Trans. Dependable Secur. Comput.
Bin Zhu, Kaiping Xue, Jingcheng Zhao, David S. L. Wei, Qibin Sun, Jun Lu
2026 J jnl
PrivTF: Efficient and Privacy-Preserving Transformer Inference With Optimized Protocols for Secure NLP.
IEEE Trans. Netw. Sci. Eng.
Ziwei Peng, Kaiping Xue, Bin Zhu, Yaxuan Huang, Jian Li, Meng Hao, Tianwei Zhang
2025 J jnl
Enabling Accurate and Efficient Privacy-Preserving Truth Discovery for Sparse Crowdsensing.
IEEE Trans. Dependable Secur. Comput.
Shaoxian Yuan, Kaiping Xue, Bin Zhu, Jingcheng Zhao, Yaxuan Huang, Yuandong Xie, David S. L. Wei
2025 J jnl
PSAC: Privacy-Preserving Statistical Analysis Framework for Crowdsourcing Using Histograms.
IEEE Trans. Dependable Secur. Comput.
Bin Zhu, Kaiping Xue, Jingcheng Zhao, Xianchao Zhang, David S. L. Wei, Qibin Sun, Jun Lu
2025 J jnl
Privacy-Preserving Statistical Analysis With Low Redundancy Over Task-Relevant Microdata.
IEEE Trans. Inf. Forensics Secur.
Jingcheng Zhao, Kaiping Xue, Yingjie Xue, Meng Li, Bin Zhu, Shaoxian Yuan
2025 J jnl
Privacy-Preserving Truth Discovery of Evolving Truths for Mobile Crowdsensing Systems.
IEEE Trans. Dependable Secur. Comput.
Jingcheng Zhao, Kaiping Xue, Ruidong Li, Bin Zhu, Meng Li, Qibin Sun, Jun Lu
2025 J jnl
SSE-CTC: Search Over Encrypted Data With Owner-Enforced and Complete Time Constraints.
IEEE Trans. Dependable Secur. Comput.
Jinjiang Yang, Kaiping Xue, Feng Liu, Bin Zhu, Ruidong Li, Qibin Sun, Jun Lu
2024 J jnl
Collecting Partial Ordered Data With Local Differential Privacy.
IEEE Trans. Inf. Forensics Secur.
Yaxuan Huang, Kaiping Xue, Bin Zhu, Jingcheng Zhao, Ruidong Li
2024 J jnl
Differentially Private Federated Learning With an Adaptive Noise Mechanism.
IEEE Trans. Inf. Forensics Secur.
Rui Xue, Kaiping Xue, Bin Zhu, Xinyi Luo, Tianwei Zhang, Qibin Sun, Jun Lu
2024 J jnl
Joint Distribution Analysis for Set-Valued Data With Local Differential Privacy.
IEEE Trans. Inf. Forensics Secur.
Yaxuan Huang, Kaiping Xue, Bin Zhu, David S. L. Wei, Qibin Sun, Jun Lu
2023 B conf
Achieving Privacy-Preserving Outsourced SVM Training with Non-Linear Kernel.
GLOBECOM
Yuandong Xie, Jingcheng Zhao, Bin Zhu, Jia Li, Ruidong Li, Kaiping Xue
2022 J jnl
An efficient data aggregation scheme with local differential privacy in smart grid.
Digit. Commun. Networks
Na Gai, Kaiping Xue, Bin Zhu, Jiayu Yang, Jianqing Liu, Debiao He
2022 B conf
Privacy-preserving Truth Discovery with Outlier Detection in Mobile Crowdsensing Systems.
GLOBECOM
Jingchen Zhao, Bin Zhu, Jian Li, Shaoxian Yuan, Kaiping Xue, Xianchao Zhang
2021 B conf
A Fog-Aided Privacy-Preserving Truth Discovery Framework over Crowdsensed Data Streams.
GLOBECOM
Shaoxian Yuan, Bin Zhu, Feng Liu, Jian Li, Kaiping Xue
2021 J jnl
InPPTD: A Lightweight Incentive-Based Privacy-Preserving Truth Discovery for Crowdsensing Systems.
IEEE Internet Things J.
Kaiping Xue, Bin Zhu, Qingyou Yang, Na Gai, David S. L. Wei, Nenghai Yu
2021 B conf
Privacy-Preserving Truth Discovery for Sparse Data in Mobile Crowdsensing Systems.
GLOBECOM
Feng Liu, Bin Zhu, Shaoxian Yuan, Jian Li, Kaiping Xue
2020 — conf
An Efficient Data Aggregation Scheme with Local Differential Privacy in Smart Grid.
MSN
Na Gai, Kaiping Xue, Peixuan He, Bin Zhu, Jianqing Liu, Debiao He
2020 J jnl
An Efficient and Robust Data Aggregation Scheme Without a Trusted Authority for Smart Grid.
IEEE Internet Things J.
Kaiping Xue, Bin Zhu, Qingyou Yang, David S. L. Wei, Mohsen Guizani
2020 A* conf
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions.
CVPR
Shaohua Li, Kaiping Xue, Bin Zhu, Chenkai Ding, Xindi Gao, David S. L. Wei, Tao Wan