Toward Wireless Security without Computational Assumptions - Oblivious Transfer Based on Wireless Channel Characteristics. - Zhuo Hao; Yunlong Mao; Sheng Zhong 002; Li Erran Li; Haifan Yao; Nenghai Yu (IEEE Trans. Computers, 2014)

Privacy Preserving Market Schemes for Mobile Sensing. - Yuan Zhang 004; Yunlong Mao; He Zhang; Sheng Zhong 002 (ICPP, 2015)

Protecting Location Information in Collaborative Sensing of Cognitive Radio Networks. - Yunlong Mao; Tingting Chen 001; Yuan Zhang 004; Tiancong Wang; Sheng Zhong 002 (MSWiM, 2015)

Privacy Preserving Distributed Permutation Test. - Yunlong Mao; Yuan Zhang 004 (SCC@AsiaCCS, 2016)

Stemming Downlink Leakage from Training Sequences in Multi-User MIMO Networks. - Yunlong Mao; Yuan Zhang 004; Sheng Zhong 002 (CCS, 2016)

Joint Differentially Private Gale-Shapley Mechanisms for Location Privacy Protection in Mobile Traffic Offloading Systems. - Yuan Zhang 004; Yunlong Mao; Sheng Zhong 002 (IEEE J. Sel. Areas Commun., 2016)

Towards Privacy-Preserving Aggregation for Collaborative Spectrum Sensing. - Yunlong Mao; Tingting Chen 001; Yuan Zhang 004; Tiancong Wang; Sheng Zhong 002 (IEEE Trans. Inf. Forensics Secur., 2017)

Learning from Differentially Private Neural Activations with Edge Computing. - Yunlong Mao; Shanhe Yi; Qun Li 001; Jinghao Feng; Fengyuan Xu; Sheng Zhong 002 (SEC, 2018)

Location privacy in public access points positioning: An optimization and geometry approach. - Yunlong Mao; Yuan Zhang 004; Xiaoyan Zhang; Fengyuan Xu; Sheng Zhong 002 (Comput. Secur., 2018)

WPD and DE/BBO-RBFNN for solution of rolling bearing fault diagnosis. - Qing Zhang; Junwei Gao; Honghui Dong; Yunlong Mao (Neurocomputing, 2018)

Private Deep Neural Network Models Publishing for Machine Learning as a Service. - Yunlong Mao; Boyu Zhu; Wenbo Hong; Zhifei Zhu; Yuan Zhang 004; Sheng Zhong 002 (IWQoS, 2020)

An Improved Traffic Congestion Monitoring System Based on Federated Learning. - Chenming Xu; Yunlong Mao (Inf., 2020)

Secure TDD MIMO Networks Against Training Sequence Based Eavesdropping Attack. - Yunlong Mao; Ying He; Yuan Zhang 004; Jingyu Hua; Sheng Zhong 002 (IEEE Trans. Mob. Comput., 2020)

Romoa: Robust Model Aggregation for the Resistance of Federated Learning to Model Poisoning Attacks. - Yunlong Mao; Xinyu Yuan; Xinyang Zhao; Sheng Zhong 002 (ESORICS (1), 2021)

Towards Thwarting Template Side-Channel Attacks in Secure Cloud Deduplications. - Yuan Zhang 004; Yunlong Mao; Minze Xu; Fengyuan Xu; Sheng Zhong 002 (IEEE Trans. Dependable Secur. Comput., 2021)

Privacy-Preserving Computation Offloading for Parallel Deep Neural Networks Training. - Yunlong Mao; Wenbo Hong; Heng Wang; Qun Li 001; Sheng Zhong 002 (IEEE Trans. Parallel Distributed Syst., 2021)

Are You Moving as You Claim: GPS Trajectory Forgery and Detection in Location-Based Services. - Huaming Yang; Zhongzhou Xia; Jersy Shin; Jingyu Hua; Yunlong Mao; Sheng Zhong 002 (ICDCS, 2022)

Secure deduplication schemes for content delivery in mobile edge computing. - Yu Lin; Yunlong Mao; Yuan Zhang 004; Sheng Zhong 002 (Comput. Secur., 2022)

Secure Deep Neural Network Models Publishing Against Membership Inference Attacks Via Training Task Parallelism. - Yunlong Mao; Wenbo Hong; Boyu Zhu; Zhifei Zhu; Yuan Zhang 004; Sheng Zhong 002 (IEEE Trans. Parallel Distributed Syst., 2022)

FLSwitch: Towards Secure and Fast Model Aggregation for Federated Deep Learning with a Learning State-Aware Switch. - Yunlong Mao; Ziqin Dang; Yu Lin; Tianling Zhang; Yuan Zhang 004; Jingyu Hua; Sheng Zhong 002 (ACNS (1), 2023)

Secure Split Learning Against Property Inference, Data Reconstruction, and Feature Space Hijacking Attacks. - Yunlong Mao; Zexi Xin; Zhenyu Li; Jue Hong; Qingyou Yang; Sheng Zhong 002 (ESORICS (4), 2023)

A Split-and-Privatize Framework for Large Language Model Fine-Tuning. - Xicong Shen; Yang Liu; Huiqi Liu; Jue Hong; Bing Duan; Zirui Huang; Yunlong Mao; Ye Wu; Di Wu (CoRR, 2023)

Design of Ultra-Wideband Phased Array Applicator for Breast Cancer Hyperthermia Therapy. - Cheng Lyu; Wenxing Li; Si Li; Yunlong Mao; Bin Yang 034 (Sensors, 2023)

UBA-Inf: Unlearning Activated Backdoor Attack with Influence-Driven Camouflage. - Zirui Huang; Yunlong Mao; Sheng Zhong 002 (USENIX Security Symposium, 2024)

Unbalanced private set intersection with linear communication complexity. - Quanyu Zhao; Bingbing Jiang 002; Yuan Zhang 004; Heng Wang; Yunlong Mao; Sheng Zhong 002 (Sci. China Inf. Sci., 2024)

LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation. - Ying He; Mingyang Niu; Jingyu Hua; Yunlong Mao; Xu Huang; Chen Li; Sheng Zhong 002 (CoRR, 2024)

Solution Probing Attack Against Coin Mixing Based Privacy-Preserving Crowdsourcing Platforms. - Yunlong Mao; Ziqin Dang; Heng Wang; Yuan Zhang 004; Sheng Zhong 002 (IEEE Trans. Dependable Secur. Comput., 2024)

Secure Model Aggregation Against Poisoning Attacks for Cross-Silo Federated Learning With Robustness and Fairness. - Yunlong Mao; Zhujing Ye; Xinyu Yuan; Sheng Zhong 002 (IEEE Trans. Inf. Forensics Secur., 2024)

Toward Universal Detection of Adversarial Examples via Pseudorandom Classifiers. - Boyu Zhu; Changyu Dong; Yuan Zhang 004; Yunlong Mao; Sheng Zhong 002 (IEEE Trans. Inf. Forensics Secur., 2024)

A Comprehensive Study of Trajectory Forgery and Detection in Location-Based Services. - Huaming Yang; Zhongzhou Xia; Jersy Shin; Jingyu Hua; Yunlong Mao; Sheng Zhong 002 (IEEE Trans. Mob. Comput., 2024)

ObfusLM: Privacy-preserving Language Model Service against Embedding Inversion Attacks. - Yu Lin; Ruining Yang; Yunlong Mao; Qizhi Zhang; Jue Hong; Quanwei Cai 003; Ye Wu; Huiqi Liu; Zhiyu Chen; Bing Duan; Sheng Zhong 002 (ACL (1), 2025)

LT-OAQ: Learnable Threshold Based Outlier-Aware Quantization and its Energy-Efficient Accelerator for Low-Precision On-Chip Training. - Qinkai Xu; Yijin Liu; Yuan Meng; Yang Chen; Yunlong Mao; Li Li 002; Yuxiang Fu (DATE, 2025)

CrossNet: A Low-Latency MLaaS Framework for Privacy-Preserving Neural Network Inference on Resource-Limited Devices. - Yu Lin; Tianling Zhang; Yunlong Mao; Sheng Zhong 002 (IEEE Trans. Dependable Secur. Comput., 2025)

OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware Devices. - Yunlong Mao; Mingyang Niu; Ziqin Dang; Chengxi Li 019; Hanning Xia; Yuejuan Zhu; Haoyu Bian; Yuan Zhang 004; Jingyu Hua; Sheng Zhong 002 (CoRR, 2025)

SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning. - Chengcheng Zhu; Ye Li; Bosen Rao; Jiale Zhang; Yunlong Mao; Sheng Zhong 002 (CoRR, 2025)