Secure Nearest Neighbor Query on Crowd-Sensing Data. - Ke Cheng 001; Liangmin Wang 001; Hong Zhong 001 (Sensors, 2016)

Improving Database Storage Usability with the Cloud-Based Architecture. - Cuicui Su; Yongzhi Wang 001; Yulong Shen 001; Ke Cheng 001; Jiawen Ma (DSC, 2017)

Secure Similar Sequence Query on Outsourced Genomic Data. - Ke Cheng 001; Yantian Hou; Liangmin Wang 001 (AsiaCCS, 2018)

Obfuscating program control flow with Intel SGX. - Yongzhi Wang 001; Yulong Shen 001; Ke Cheng 001; Yibo Yang; Cuicui Su; Anter Faree (ICSE (Companion Volume), 2018)

Flexibly and Securely Shape Your Data Disclosed to Others. - Qing-Qing Xie; Yantian Hou; Ke Cheng 001; Gaby G. Dagher; Liangmin Wang 001; Shucheng Yu (AsiaCCS, 2019)

Towards Efficient Privacy-Preserving Auction Mechanism for Two-Sided Cloud Markets. - Ke Cheng 001; Yulong Slien; Yuzhen Zhang; Xinghui Zhu; Liangmin Wang 001; Hong Zhong 001 (ICC, 2019)

Strongly Secure and Efficient Range Queries in Cloud Databases under Multiple Keys. - Ke Cheng 001; Yulong Shen 001; Yongzhi Wang 001; Liangmin Wang 001; Jianfeng Ma 001; Xionghong Jiang; Cuicui Su (INFOCOM, 2019)

CFHider: Control Flow Obfuscation with Intel SGX. - Yongzhi Wang 001; Yulong Shen 001; Cuicui Su; Ke Cheng 001; Yibo Yang; Anter Faree; Yao Liu 007 (INFOCOM, 2019)

A Lightweight Auction Framework for Spectrum Allocation with Strong Security Guarantees. - Ke Cheng 001; Liangmin Wang 001; Yulong Shen 001; Yangyang Liu; Yongzhi Wang 001; Lele Zheng (INFOCOM, 2020)

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)

Mobility-Aware Privacy-Preserving Mobile Crowdsourcing. - Guoying Qiu; Yulong Shen 001; Ke Cheng 001; Lingtong Liu; Shuiguang Zeng (Sensors, 2021)

Secure $k$k-NN Query on Encrypted Cloud Data with Multiple Keys. - Ke Cheng 001; Liangmin Wang 001; Yulong Shen 001; Hua Wang 002; Yongzhi Wang 001; Xiaohong Jiang 001; Hong Zhong 001 (IEEE Trans. Big Data, 2021)

Privacy-Enhanced and Practical Truth Discovery in Two-Server Mobile Crowdsensing. - Haiqin Wu; Liangmin Wang 001; Ke Cheng 001; Dejun Yang; Jian Tang 008; Guoliang Xue (IEEE Trans. Netw. Sci. Eng., 2022)

Secure Similar Sequence Query over Multi-source Genomic Data on Cloud. - Ke Cheng 001; Yantian Hou; Liangmin Wang 001 (IEEE Trans. Cloud Comput., 2023)

FuzzyDedup: Secure Fuzzy Deduplication for Cloud Storage. - Tao Jiang 017; Xu Yuan 001; Yuan Chen 008; Ke Cheng 001; Liangmin Wang 001; Xiaofeng Chen 001; Jianfeng Ma 001 (IEEE Trans. Dependable Secur. Comput., 2023)

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 Inference for Deep Neural Networks: A Secure, Adaptive, and Efficient Realization. - Ke Cheng 001; Ning Xi 002; Ximeng Liu; Xinghui Zhu; Haichang Gao; Zhiwei Zhang; Yulong Shen 001 (IEEE Trans. Computers, 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)

Guard-FL: An UMAP-Assisted Robust Aggregation for Federated Learning. - Anxiao Song; Haoshuo Li; Ke Cheng 001; Tao Zhang 029; Aijing Sun; Yulong Shen 001 (IEEE Internet Things J., 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)

FedDMC: Efficient and Robust Federated Learning via Detecting Malicious Clients. - Xutong Mu; Ke Cheng 001; Yulong Shen 001; Xiaoxiao Li; Zhao Chang; Tao Zhang 029; Xindi Ma (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)

FedPTA: Prior-Based Tensor Approximation for Detecting Malicious Clients in Federated Learning. - Xutong Mu; Ke Cheng 001; Teng Liu; Tao Zhang 029; Xueli Geng; Yulong Shen 001 (IEEE Trans. Inf. Forensics Secur., 2024)

A blockchain-based privacy-preserving and collusion-resistant scheme (PPCR) for double auctions. - Xuedan Jia; Liangmin Wang 001; Ke Cheng 001; Pujie Jing; Xiangmei Song (Digit. Commun. Networks, 2025)

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)

Byzantine-Robust Federated Learning Framework via a Server-Client Defense Mechanisms. - Anxiao Song; Tao Zhang 029; Ke Cheng 001; Yang Cao; Xinghui Zhu; Yulong Shen 001 (IEEE Internet Things J., 2025)

A Novel Quantitative Risk Assessment Model for Industrial Control Systems Integrating the Cyber-Physical Domain. - Ying Zhou; Zhiyong Zhang 002; Kefeng Fan; Mingyan Wang; Ke Cheng 001; Zhongya Zhang; Hang Zhang 020 (IEEE Trans. Ind. Informatics, 2025)