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Yunlong Mao
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2020 – today
- 2024
- [j17]Quanyu Zhao, Bingbing Jiang, Yuan Zhang, Heng Wang, Yunlong Mao, Sheng Zhong:
Unbalanced private set intersection with linear communication complexity. Sci. China Inf. Sci. 67(3) (2024) - [j16]Yunlong Mao, Ziqin Dang, Heng Wang, Yuan Zhang, Sheng Zhong:
Solution Probing Attack Against Coin Mixing Based Privacy-Preserving Crowdsourcing Platforms. IEEE Trans. Dependable Secur. Comput. 21(5): 4684-4698 (2024) - [j15]Boyu Zhu, Changyu Dong, Yuan Zhang, Yunlong Mao, Sheng Zhong:
Toward Universal Detection of Adversarial Examples via Pseudorandom Classifiers. IEEE Trans. Inf. Forensics Secur. 19: 1810-1825 (2024) - [j14]Yunlong Mao, Zhujing Ye, Xinyu Yuan, Sheng Zhong:
Secure Model Aggregation Against Poisoning Attacks for Cross-Silo Federated Learning With Robustness and Fairness. IEEE Trans. Inf. Forensics Secur. 19: 6321-6336 (2024) - [j13]Huaming Yang, Zhongzhou Xia, Jersy Shin, Jingyu Hua, Yunlong Mao, Sheng Zhong:
A Comprehensive Study of Trajectory Forgery and Detection in Location-Based Services. IEEE Trans. Mob. Comput. 23(4): 3228-3242 (2024) - [c11]Zirui Huang, Yunlong Mao, Sheng Zhong:
UBA-Inf: Unlearning Activated Backdoor Attack with Influence-Driven Camouflage. USENIX Security Symposium 2024 - [i3]Ying He, Mingyang Niu, Jingyu Hua, Yunlong Mao, Xu Huang, Chen Li, Sheng Zhong:
LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation. CoRR abs/2405.17042 (2024) - 2023
- [j12]Cheng Lyu, Wenxing Li, Si Li, Yunlong Mao, Bin Yang:
Design of Ultra-Wideband Phased Array Applicator for Breast Cancer Hyperthermia Therapy. Sensors 23(3): 1051 (2023) - [c10]Yunlong Mao, Ziqin Dang, Yu Lin, Tianling Zhang, Yuan Zhang, Jingyu Hua, Sheng Zhong:
FLSwitch: Towards Secure and Fast Model Aggregation for Federated Deep Learning with a Learning State-Aware Switch. ACNS (1) 2023: 476-500 - [c9]Yunlong Mao, Zexi Xin, Zhenyu Li, Jue Hong, Qingyou Yang, Sheng Zhong:
Secure Split Learning Against Property Inference, Data Reconstruction, and Feature Space Hijacking Attacks. ESORICS (4) 2023: 23-43 - [i2]Yunlong Mao, Zexi Xin, Zhenyu Li, Jue Hong, Qingyou Yang, Sheng Zhong:
Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking Attacks. CoRR abs/2304.09515 (2023) - [i1]Xicong Shen, Yang Liu, Huiqi Liu, Jue Hong, Bing Duan, Zirui Huang, Yunlong Mao, Ye Wu, Di Wu:
A Split-and-Privatize Framework for Large Language Model Fine-Tuning. CoRR abs/2312.15603 (2023) - 2022
- [j11]Yu Lin, Yunlong Mao, Yuan Zhang, Sheng Zhong:
Secure deduplication schemes for content delivery in mobile edge computing. Comput. Secur. 114: 102602 (2022) - [j10]Yunlong Mao, Wenbo Hong, Boyu Zhu, Zhifei Zhu, Yuan Zhang, Sheng Zhong:
Secure Deep Neural Network Models Publishing Against Membership Inference Attacks Via Training Task Parallelism. IEEE Trans. Parallel Distributed Syst. 33(11): 3079-3091 (2022) - [c8]Huaming Yang, Zhongzhou Xia, Jersy Shin, Jingyu Hua, Yunlong Mao, Sheng Zhong:
Are You Moving as You Claim: GPS Trajectory Forgery and Detection in Location-Based Services. ICDCS 2022: 1166-1176 - 2021
- [j9]Yuan Zhang, Yunlong Mao, Minze Xu, Fengyuan Xu, Sheng Zhong:
Towards Thwarting Template Side-Channel Attacks in Secure Cloud Deduplications. IEEE Trans. Dependable Secur. Comput. 18(3): 1008-1018 (2021) - [j8]Yunlong Mao, Wenbo Hong, Heng Wang, Qun Li, Sheng Zhong:
Privacy-Preserving Computation Offloading for Parallel Deep Neural Networks Training. IEEE Trans. Parallel Distributed Syst. 32(7): 1777-1788 (2021) - [c7]Yunlong Mao, Xinyu Yuan, Xinyang Zhao, Sheng Zhong:
Romoa: Robust Model Aggregation for the Resistance of Federated Learning to Model Poisoning Attacks. ESORICS (1) 2021: 476-496 - 2020
- [j7]Chenming Xu, Yunlong Mao:
An Improved Traffic Congestion Monitoring System Based on Federated Learning. Inf. 11(7): 365 (2020) - [j6]Yunlong Mao, Ying He, Yuan Zhang, Jingyu Hua, Sheng Zhong:
Secure TDD MIMO Networks Against Training Sequence Based Eavesdropping Attack. IEEE Trans. Mob. Comput. 19(12): 2916-2932 (2020) - [c6]Yunlong Mao, Boyu Zhu, Wenbo Hong, Zhifei Zhu, Yuan Zhang, Sheng Zhong:
Private Deep Neural Network Models Publishing for Machine Learning as a Service. IWQoS 2020: 1-10
2010 – 2019
- 2018
- [j5]Yunlong Mao, Yuan Zhang, Xiaoyan Zhang, Fengyuan Xu, Sheng Zhong:
Location privacy in public access points positioning: An optimization and geometry approach. Comput. Secur. 73: 425-438 (2018) - [j4]Qing Zhang, Junwei Gao, Honghui Dong, Yunlong Mao:
WPD and DE/BBO-RBFNN for solution of rolling bearing fault diagnosis. Neurocomputing 312: 27-33 (2018) - [c5]Yunlong Mao, Shanhe Yi, Qun Li, Jinghao Feng, Fengyuan Xu, Sheng Zhong:
Learning from Differentially Private Neural Activations with Edge Computing. SEC 2018: 90-102 - 2017
- [j3]Yunlong Mao, Tingting Chen, Yuan Zhang, Tiancong Wang, Sheng Zhong:
Towards Privacy-Preserving Aggregation for Collaborative Spectrum Sensing. IEEE Trans. Inf. Forensics Secur. 12(6): 1483-1493 (2017) - 2016
- [j2]Yuan Zhang, Yunlong Mao, Sheng Zhong:
Joint Differentially Private Gale-Shapley Mechanisms for Location Privacy Protection in Mobile Traffic Offloading Systems. IEEE J. Sel. Areas Commun. 34(10): 2738-2749 (2016) - [c4]Yunlong Mao, Yuan Zhang:
Privacy Preserving Distributed Permutation Test. SCC@AsiaCCS 2016: 67-73 - [c3]Yunlong Mao, Yuan Zhang, Sheng Zhong:
Stemming Downlink Leakage from Training Sequences in Multi-User MIMO Networks. CCS 2016: 1580-1590 - 2015
- [c2]Yuan Zhang, Yunlong Mao, He Zhang, Sheng Zhong:
Privacy Preserving Market Schemes for Mobile Sensing. ICPP 2015: 909-918 - [c1]Yunlong Mao, Tingting Chen, Yuan Zhang, Tiancong Wang, Sheng Zhong:
Protecting Location Information in Collaborative Sensing of Cognitive Radio Networks. MSWiM 2015: 219-226 - 2014
- [j1]Zhuo Hao, Yunlong Mao, Sheng Zhong, Li Erran Li, Haifan Yao, Nenghai Yu:
Toward Wireless Security without Computational Assumptions - Oblivious Transfer Based on Wireless Channel Characteristics. IEEE Trans. Computers 63(6): 1580-1593 (2014)
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