Marvel: Mann-Whitney Rank-Sum Testing via Segments Labeling for Indoor Pedestrian Localization. - Mu Zhou; Yanmeng Wang; Zengshan Tian; Qiao Zhang 002 (ICC, 2018)

GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning. - Qiao Zhang 002; Cong Wang 006; Hongyi Wu; Chunsheng Xin; Tran V. Phuong (IJCAI, 2018)

CHEETAH: An Ultra-Fast, Approximation-Free, and Privacy-Preserved Neural Network Framework based on Joint Obscure Linear and Nonlinear Computations. - Qiao Zhang 002; Cong Wang 006; Chunsheng Xin; Hongyi Wu (CoRR, 2019)

GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks. - Qiao Zhang 002; Chunsheng Xin; Hongyi Wu (NDSS, 2021)

Privacy-Preserving Deep Learning Based on Multiparty Secure Computation: A Survey. - Qiao Zhang 002; Chunsheng Xin; Hongyi Wu (IEEE Internet Things J., 2021)

Joint Linear and Nonlinear Computation with Data Encryption for Efficient Privacy-Preserving Deep Learning. - Qiao Zhang 002 (2021)

Hunter: HE-Friendly Structured Pruning for Efficient Privacy-Preserving Deep Learning. - Yifei Cai; Qiao Zhang 002; Rui Ning; Chunsheng Xin; Hongyi Wu (AsiaCCS, 2022)

Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference. - Qiao Zhang 002; Tao Xiang 001; Chunsheng Xin; Biwen Chen; Hongyi Wu (CoRR, 2022)

DT-SSIM: A Decentralized Trustworthy Self-Sovereign Identity Management Framework. - Efat Samir; Hongyi Wu; Mohamed Azab; Chunsheng Xin; Qiao Zhang 002 (IEEE Internet Things J., 2022)

SecureTrain: An Approximation-Free and Computationally Efficient Framework for Privacy-Preserved Neural Network Training. - Qiao Zhang 002; Chunsheng Xin; Hongyi Wu (IEEE Trans. Netw. Sci. Eng., 2022)

PRISC: Privacy-Preserved Pandemic Infection Risk Computation Through Cellular-Enabled IoT Devices. - Yizhou Feng; Qiao Zhang 002; Hongyi Wu; Chunsheng Xin (IEEE Internet Things J., 2023)

Privacy-Preserving Machine Learning as a Service: Challenges and Opportunities. - Qiao Zhang 002; Tao Xiang 001; Yifei Cai; Zhichao Zhao; Ning Wang 003; Hongyi Wu (IEEE Netw., 2023)

United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus. - Qiao Zhang 002; Tao Xiang 001; Chunsheng Xin; Hongyi Wu (AAAI, 2024)

TILE: Input Structure Optimization for Neural Networks to Accelerate Secure Inference. - Yizhou Feng; Qiao Zhang 002; Yifei Cai; Hongyi Wu; Chunsheng Xin (ACSAC, 2024)

MOSAIC: A Prune-and-Assemble Approach for Efficient Model Pruning in Privacy-Preserving Deep Learning. - Yifei Cai; Qiao Zhang 002; Rui Ning; Chunsheng Xin; Hongyi Wu (AsiaCCS, 2024)

SPOT: Structure Patching and Overlap Tweaking for Effective Pipelining in Privacy-Preserving MLaaS with Tiny Clients. - Xiangrui Xu 004; Qiao Zhang 002; Rui Ning; Chunsheng Xin; Hongyi Wu (ICDCS, 2024)

From Individual Computation to Allied Optimization: Remodeling Privacy-Preserving Neural Inference with Function Input Tuning. - Qiao Zhang 002; Tao Xiang 001; Chunsheng Xin; Hongyi Wu (SP, 2024)

Comet: A Communication-efficient and Performant Approximation for Private Transformer Inference. - Xiangrui Xu 004; Qiao Zhang 002; Rui Ning; Chunsheng Xin; Hongyi Wu (CoRR, 2024)

Contrast-Then-Approximate: Analyzing Keyword Leakage of Generative Language Models. - Zhirui Zeng; Tao Xiang 001; Shangwei Guo; Jialing He; Qiao Zhang 002; Guowen Xu; Tianwei Zhang 004 (IEEE Trans. Inf. Forensics Secur., 2024)