Yunlong Mao

According to our database, Yunlong Mao authored at least 30 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

IEEE Trans. Mob. Comput., April, 2024

Toward Universal Detection of Adversarial Examples via Pseudorandom Classifiers.

Boyu Zhu, Changyu Dong, Yuan Zhang, Yunlong Mao, Sheng Zhong

IEEE Trans. Inf. Forensics Secur., 2024

Secure Model Aggregation Against Poisoning Attacks for Cross-Silo Federated Learning With Robustness and Fairness.

Yunlong Mao, Zhujing Ye, Xinyu Yuan, Sheng Zhong

IEEE Trans. Inf. Forensics Secur., 2024

Solution Probing Attack Against Coin Mixing Based Privacy-Preserving Crowdsourcing Platforms.

Yunlong Mao, Ziqin Dang, Heng Wang, Yuan Zhang, Sheng Zhong

IEEE Trans. Dependable Secur. Comput., 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

CoRR, 2024

Unbalanced private set intersection with linear communication complexity.

Quanyu Zhao, Bingbing Jiang, Yuan Zhang, Heng Wang, Yunlong Mao, Sheng Zhong

Sci. China Inf. Sci., 2024

UBA-Inf: Unlearning Activated Backdoor Attack with Influence-Driven Camouflage.

Zirui Huang, Yunlong Mao, Sheng Zhong

Proceedings of the 33rd USENIX Security Symposium, 2024

2023

Design of Ultra-Wideband Phased Array Applicator for Breast Cancer Hyperthermia Therapy.

Cheng Lyu, Wenxing Li, Si Li, Yunlong Mao, Bin Yang

Sensors, February, 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

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

Proceedings of the Computer Security - ESORICS 2023, 2023

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

Proceedings of the Applied Cryptography and Network Security, 2023

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, Sheng Zhong

IEEE Trans. Parallel Distributed Syst., 2022

Secure deduplication schemes for content delivery in mobile edge computing.

Yu Lin, Yunlong Mao, Yuan Zhang, Sheng Zhong

Comput. Secur., 2022

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

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

2021

Privacy-Preserving Computation Offloading for Parallel Deep Neural Networks Training.

Yunlong Mao, Wenbo Hong, Heng Wang, Qun Li, Sheng Zhong

IEEE Trans. Parallel Distributed Syst., 2021

Towards Thwarting Template Side-Channel Attacks in Secure Cloud Deduplications.

Yuan Zhang, Yunlong Mao, Minze Xu, Fengyuan Xu, Sheng Zhong

IEEE Trans. Dependable Secur. Comput., 2021

Romoa: Robust Model Aggregation for the Resistance of Federated Learning to Model Poisoning Attacks.

Yunlong Mao, Xinyu Yuan, Xinyang Zhao, Sheng Zhong

Proceedings of the Computer Security - ESORICS 2021, 2021

2020

Secure TDD MIMO Networks Against Training Sequence Based Eavesdropping Attack.

Yunlong Mao, Ying He, Yuan Zhang, Jingyu Hua, Sheng Zhong

IEEE Trans. Mob. Comput., 2020

An Improved Traffic Congestion Monitoring System Based on Federated Learning.

Chenming Xu, Yunlong Mao

Inf., 2020

Private Deep Neural Network Models Publishing for Machine Learning as a Service.

Yunlong Mao, Boyu Zhu, Wenbo Hong, Zhifei Zhu, Yuan Zhang, Sheng Zhong

Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

2018

WPD and DE/BBO-RBFNN for solution of rolling bearing fault diagnosis.

Qing Zhang, Junwei Gao, Honghui Dong, Yunlong Mao

Neurocomputing, 2018

Location privacy in public access points positioning: An optimization and geometry approach.

Yunlong Mao, Yuan Zhang, Xiaoyan Zhang, Fengyuan Xu, Sheng Zhong

Comput. Secur., 2018

Learning from Differentially Private Neural Activations with Edge Computing.

Yunlong Mao, Shanhe Yi, Qun Li, Jinghao Feng, Fengyuan Xu, Sheng Zhong

Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018

2017

Towards Privacy-Preserving Aggregation for Collaborative Spectrum Sensing.

Yunlong Mao, Tingting Chen, Yuan Zhang, Tiancong Wang, Sheng Zhong

IEEE Trans. Inf. Forensics Secur., 2017

2016

Joint Differentially Private Gale-Shapley Mechanisms for Location Privacy Protection in Mobile Traffic Offloading Systems.

Yuan Zhang, Yunlong Mao, Sheng Zhong

IEEE J. Sel. Areas Commun., 2016

Stemming Downlink Leakage from Training Sequences in Multi-User MIMO Networks.

Yunlong Mao, Yuan Zhang, Sheng Zhong

Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

Privacy Preserving Distributed Permutation Test.

Yunlong Mao, Yuan Zhang

Proceedings of the 4th ACM International Workshop on Security in Cloud Computing, 2016

2015

Protecting Location Information in Collaborative Sensing of Cognitive Radio Networks.

Yunlong Mao, Tingting Chen, Yuan Zhang, Tiancong Wang, Sheng Zhong

Proceedings of the 18th ACM International Conference on Modeling, 2015

Privacy Preserving Market Schemes for Mobile Sensing.

Yuan Zhang, Yunlong Mao, He Zhang, Sheng Zhong

Proceedings of the 44th International Conference on Parallel Processing, 2015

2014

Toward Wireless Security without Computational Assumptions - Oblivious Transfer Based on Wireless Channel Characteristics.

Zhuo Hao, Yunlong Mao, Sheng Zhong, Li Erran Li, Haifan Yao, Nenghai Yu

IEEE Trans. Computers, 2014