A Secure and Fair Double Auction Framework for Cloud Virtual Machines. - Ke Cheng 001; Wei Tong 003; Lele Zheng; Jiaxuan Fu; Xutong Mu; Yulong Shen 001 (IEEE Access, 2021)

FedProc: Prototypical contrastive federated learning on non-IID data. - Xutong Mu; Yulong Shen 001; Ke Cheng 001; Xueli Geng; Jiaxuan Fu; Tao Zhang 029; Zhiwei Zhang (Future Gener. Comput. Syst., 2023)

Manto: A Practical and Secure Inference Service of Convolutional Neural Networks for IoT. - Ke Cheng 001; Jiaxuan Fu; Yulong Shen 001; Haichang Gao; Ning Xi 002; Zhiwei Zhang; Xinghui Zhu (IEEE Internet Things J., 2023)

Private Decision Tree Evaluation with Malicious Security via Function Secret Sharing. - Jiaxuan Fu; Ke Cheng 001; Yuheng Xia; Anxiao Song; Qianxing Li; Yulong Shen 001 (ESORICS (2), 2024)

Securely and Efficiently Outsourcing Neural Network Inference via Parallel MSB Extraction. - Xin Liu; Ning Xi 002; Ke Cheng 001; Jiaxuan Fu; Xinghui Zhu; Yulong Shen 001; Jianfeng Ma 001 (ICASSP, 2024)

PPA-DBSCAN: Privacy-Preserving $ rho$ρ-Approximate Density-Based Clustering. - Jiaxuan Fu; Ke Cheng 001; Zhao Chang; Yulong Shen 001 (IEEE Trans. Dependable Secur. Comput., 2024)

FSS-DBSCAN: Outsourced Private Density-Based Clustering via Function Secret Sharing. - Jiaxuan Fu; Ke Cheng 001; Anxiao Song; Yuheng Xia; Zhao Chang; Yulong Shen 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Dynamic Pattern Matching on Encrypted Data With Forward and Backward Security. - Xiaolu Chu; Ke Cheng 001; Anxiao Song; Jiaxuan Fu (IET Inf. Secur., 2025)

PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Function Secret Sharing. - Zhichao You; Xuewen Dong; Ke Cheng 001; Xutong Mu; Jiaxuan Fu; Shiyang Ma; Qiang Qu; Yulong Shen 001 (CoRR, 2025)