FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions. - Shaohua Li 002; Kaiping Xue; Bin Zhu 010; Chenkai Ding; Xindi Gao; David S. L. Wei; Tao Wan (CVPR, 2020)

An Efficient Data Aggregation Scheme with Local Differential Privacy in Smart Grid. - Na Gai; Kaiping Xue; Peixuan He; Bin Zhu 010; Jianqing Liu; Debiao He (MSN, 2020)

An Efficient and Robust Data Aggregation Scheme Without a Trusted Authority for Smart Grid. - Kaiping Xue; Bin Zhu 010; Qingyou Yang; David S. L. Wei; Mohsen Guizani (IEEE Internet Things J., 2020)

Privacy-Preserving Truth Discovery for Sparse Data in Mobile Crowdsensing Systems. - Feng Liu 059; Bin Zhu 010; Shaoxian Yuan; Jian Li 031; Kaiping Xue (GLOBECOM, 2021)

A Fog-Aided Privacy-Preserving Truth Discovery Framework over Crowdsensed Data Streams. - Shaoxian Yuan; Bin Zhu 010; Feng Liu 059; Jian Li 031; Kaiping Xue (GLOBECOM, 2021)

InPPTD: A Lightweight Incentive-Based Privacy-Preserving Truth Discovery for Crowdsensing Systems. - Kaiping Xue; Bin Zhu 010; Qingyou Yang; Na Gai; David S. L. Wei; Nenghai Yu (IEEE Internet Things J., 2021)

Privacy-preserving Truth Discovery with Outlier Detection in Mobile Crowdsensing Systems. - Jingchen Zhao; Bin Zhu 010; Jian Li 031; Shaoxian Yuan; Kaiping Xue; Xianchao Zhang 002 (GLOBECOM, 2022)

An efficient data aggregation scheme with local differential privacy in smart grid. - Na Gai; Kaiping Xue; Bin Zhu 010; Jiayu Yang; Jianqing Liu; Debiao He (Digit. Commun. Networks, 2022)

Achieving Privacy-Preserving Outsourced SVM Training with Non-Linear Kernel. - Yuandong Xie; Jingcheng Zhao; Bin Zhu 010; Jia Li; Ruidong Li 001; Kaiping Xue (GLOBECOM, 2023)

Joint Distribution Analysis for Set-Valued Data With Local Differential Privacy. - Yaxuan Huang; Kaiping Xue; Bin Zhu 010; David S. L. Wei; Qibin Sun; Jun Lu 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Collecting Partial Ordered Data With Local Differential Privacy. - Yaxuan Huang; Kaiping Xue; Bin Zhu 010; Jingcheng Zhao; Ruidong Li 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Differentially Private Federated Learning With an Adaptive Noise Mechanism. - Rui Xue; Kaiping Xue; Bin Zhu 010; Xinyi Luo; Tianwei Zhang 004; Qibin Sun; Jun Lu 001 (IEEE Trans. Inf. Forensics Secur., 2024)

SSE-CTC: Search Over Encrypted Data With Owner-Enforced and Complete Time Constraints. - Jinjiang Yang; Kaiping Xue; Feng Liu 059; Bin Zhu 010; Ruidong Li 001; Qibin Sun; Jun Lu 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Enabling Accurate and Efficient Privacy-Preserving Truth Discovery for Sparse Crowdsensing. - Shaoxian Yuan; Kaiping Xue; Bin Zhu 010; Jingcheng Zhao; Yaxuan Huang; Yuandong Xie; David S. L. Wei (IEEE Trans. Dependable Secur. Comput., 2025)

Privacy-Preserving Statistical Analysis With Low Redundancy Over Task-Relevant Microdata. - Jingcheng Zhao; Kaiping Xue; Yingjie Xue; Meng Li 006; Bin Zhu 010; Shaoxian Yuan (IEEE Trans. Inf. Forensics Secur., 2025)