Yunlong Mao

Associate Professor
Software Institute
Nanjing University
Nanjing, 210023, China

I am a research member of COSEC, led by Prof. Sheng Zhong. Before that, I was a visiting scholar at the College of William & Mary, working with Prof. Qun Li. I got my Ph.D. and B.S. degrees in Computer Science from Nanjing University in 2018 and 2013, respectively. My research interests include but are not limited to security, privacy, networks, machine learning, and blockchain.

Publications

  1. Solution Probing Attack Against Coin Mixing Based Privacy-Preserving Crowdsourcing Platforms
    Yunlong Mao, Ziqin Dang, Heng Wang, Yuan Zhang and Sheng Zhong
    In IEEE Transactions on Dependable and Secure Computing, 2024

  2. Towards Universal Detection of Adversarial Examples via Pseudorandom Classifiers
    Boyu Zhu, Changyu Dong, Yuan Zhang, Yunlong Mao and Sheng Zhong
    In IEEE Transactions on Information Forensics & Security, 2023

  3. A Comprehensive Study of Trajectory Forgery and Detection in Location-Based Services
    Huaming Yang, Zhongzhou Xia, Zexi Xin, Jingyu Hua, Yunlong Mao and Sheng Zhong
    In IEEE Transactions on Mobile Computing, 2023.

  4. Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking Attacks
    Yunlong Mao, Zexi Xin, Zhenyu Li, Jue Hong, Qingyou Yang and Sheng Zhong
    In Proceedings of the 28th European Symposium on Research in Computer Security (ESORICS), 2023.

  5. 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 and Sheng Zhong
    In Proceedings of the 21st International Conference on Applied Cryptography and Network Security (ACNS), 2023.

  6. Are you moving as you claim: GPS Trajectory Forgery and Detection in Location-Based Services
    Huaming Yang, Zhongzhou Xia, Zexi Xin, Jingyu Hua, Yunlong Mao, Sheng Zhong
    In Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems (ICDCS), 2022.

  7. Solution Probing Attack Against Blockchain-based Quality-Aware Crowdsourcing Platforms
    Heng Wang, Yunlong Mao, Sheng Zhong
    In Proceedings of the 19th IEEE International Conference on Mobile Ad Hoc and Smart Systems (MASS), 2022.

  8. Secure Deduplication Schemes for Content Delivery in Mobile Edge Computing
    Yu Lin, Yunlong Mao, Yuan Zhang, Sheng Zhong
    In Computers & Security, 2022.

  9. Secure Deep Neural Network Models Publishing Against Membership Inference Attacks Via Training Task Parallelism
    Yunlong Mao, Wenbo Hong, Boyu Zhu, Zhifei Zhu, Yuan Zhang, Sheng Zhong
    In IEEE Transactions on Parallel and Distributed Systems, 2021.

  10. Romoa: Robust Model Aggregation for the Resistance of Federated Learning to Model Poisoning Attacks
    Yunlong Mao, Xinyu Yuan, Xinyang Zhao, and Sheng Zhong
    In Proceedings of the 26th European Symposium on Research in Computer Security (ESORICS), 2021.

  11. Privacy-Preserving Computation Offloading for Parallel Deep Neural Networks Training
    Yunlong Mao, Wenbo Hong, Heng Wang, Qun Li and Sheng Zhong
    In IEEE Transactions on Parallel and Distributed Systems, 2020.

  12. Private Deep Neural Network Models Publishing for Machine Learning as a Service
    Yunlong Mao, Boyu Zhu, Wenbo Hong, Zhifei Zhu, Yuan Zhang and Sheng Zhong
    In IEEE/ACM 28th International Symposium on Quality of Service (IWQoS), 2020.

  13. Secure TDD MIMO Networks Against Training Sequence Based Eavesdropping Attack
    Yunlong Mao, Ying He, Yuan Zhang, Jingyu Hua and Sheng Zhong
    In IEEE Transactions on Mobile Computing, 2019.

  14. Towards Thwarting Template Side-channel Attacks in Secure Cloud Deduplications
    Yuan Zhang, Yunlong Mao, Minze Xu, Fengyuan Xu, Sheng Zhong
    In IEEE Transactions on Dependable and Secure Computing, 2019.

  15. Learning from Differentially Private Neural Activations with Edge Computing
    Yunlong Mao, Shanhe Yi, Qun Li, Jinghao Feng, Fengyuan Xu and Sheng Zhong
    In the Third ACM/IEEE Symposium on Edge Computing, 2018.

  16. A Privacy-Preserving Deep Learning Approach for Face Recognition with Edge Computing
    Yunlong Mao, Shanhe Yi, Qun Li, Jinghao Feng, Fengyuan Xu and Sheng Zhong
    In USENIX Workshop on Hot Topics in Edge Computing (HotEdge), 2018.

  17. Location privacy in public access points positioning: An optimization and geometry approach
    Yunlong Mao, Yuan Zhang, Xiaoyan Zhang, Fengyuan Xu and Sheng Zhong
    In Computers & Security, 2018.

  18. Towards Privacy-Preserving Aggregation for Collaborative Spectrum Sensing
    Yunlong Mao, Tingting Chen, Yuan Zhang, Tiancong Wang and Sheng Zhong
    In IEEE Transactions on Information Forensics & Security, 2017.

  19. Joint Differentially Private Gale–Shapley Mechanisms for Location Privacy Protection in Mobile Traffic Offloading Systems
    Yuan Zhang, Yunlong Mao and Sheng Zhong
    In IEEE Journal on Selected Areas in Communications, 2016.

  20. Stemming Downlink Leakage from Training Sequences in Multi-User MIMO Networks
    Yunlong Mao, Yuan Zhang and Sheng Zhong
    In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security (CCS), 2016.

  21. Privacy Preserving Distributed Permutation Test
    Yunlong Mao and Yuan Zhang
    In Proceedings of the 4th ACM International Workshop on Security in Cloud Computing, 2016.

  22. Privacy Preserving Market Schemes for Mobile Sensing
    Yuan Zhang, Yunlong Mao, He Zhang and Sheng Zhong
    In Proceedings of the 44th International Conference on Parallel Processing (ICPP), 2015.

  23. Protecting Location Information in Collaborative Sensing of Cognitive Radio Networks
    Yunlong Mao, Tingting Chen, Yuan Zhang, Tiancong Wang and Sheng Zhong
    In Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), 2015.

  24. Toward Wireless Security without Computational Assumptions—Oblivious Transfer Based on Wireless Channel Characteristics
    Zhuo Hao, Yunlong Mao, Sheng Zhong, Li Erran Li, Haifan Yao and Nenghai Yu
    In IEEE Transactions on Computers, 2014.

Activities

Teaching

Supervising (alphabetical order)