| 2025 | ACL | ObfusLM: Privacy-preserving Language Model Service against Embedding Inversion Attacks. | Yu Lin, Ruining Yang, Yunlong Mao, Qizhi Zhang, Jue Hong, Quanwei Cai, Ye Wu, Huiqi Liu, Zhiyu Chen, Bing Duan, Sheng Zhong |
| 2025 | DATE | 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, Yuxiang Fu |
| 2025 | IJCAI | SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework. | Xicong Shen, Yang Liu, Yi Liu, Peiran Wang, Huiqi Liu, Jue Hong, Bing Duan, Zirui Huang, Yunlong Mao, Ye Wu, Sheng Zhong |
| 2023 | ACNS | 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, Jingyu Hua, Sheng Zhong |
| 2023 | ESORICS | 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 |
| 2022 | ICDCS | 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 |
| 2021 | ESORICS | Romoa: Robust Model Aggregation for the Resistance of Federated Learning to Model Poisoning Attacks. | Yunlong Mao, Xinyu Yuan, Xinyang Zhao, Sheng Zhong |
| 2020 | IWQoS | Private Deep Neural Network Models Publishing for Machine Learning as a Service. | Yunlong Mao, Boyu Zhu, Wenbo Hong, Zhifei Zhu, Yuan Zhang, Sheng Zhong |
| 2016 | CCS | Privacy Preserving Distributed Permutation Test. | Yunlong Mao, Yuan Zhang |
| 2016 | CCS | Stemming Downlink Leakage from Training Sequences in Multi-User MIMO Networks. | Yunlong Mao, Yuan Zhang, Sheng Zhong |
| 2015 | ICPP | Privacy Preserving Market Schemes for Mobile Sensing. | Yuan Zhang, Yunlong Mao, He Zhang, Sheng Zhong |
| 2015 | MSWIM | Protecting Location Information in Collaborative Sensing of Cognitive Radio Networks. | Yunlong Mao, Tingting Chen, Yuan Zhang, Tiancong Wang, Sheng Zhong |