Chuan Ma

According to our database, Chuan Ma authored at least 76 papers between 2010 and 2024.

Collaborative distances:

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

2024

Regularized Simple Multiple Kernel k-Means With Kernel Average Alignment.

Miaomiao Li, Yi Zhang, Chuan Ma, Suyuan Liu, Zhe Liu, Jianping Yin, Xinwang Liu, Qing Liao

IEEE Trans. Neural Networks Learn. Syst., November, 2024

RARE: Robust Masked Graph Autoencoder.

Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai, Kunlun He

IEEE Trans. Knowl. Data Eng., October, 2024

Toward Efficient and Secure Object Detection With Sparse Federated Training Over Internet of Vehicles.

Yuwen Qian, Luping Rao, Chuan Ma, Kang Wei, Ming Ding, Long Shi

IEEE Trans. Intell. Transp. Syst., October, 2024

Improved privacy-preserving PCA using optimized homomorphic matrix multiplication.

Xirong Ma, Chuan Ma, Yali Jiang, Chunpeng Ge

Comput. Secur., March, 2024

Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation.

Hao Wang, Yichen Cai, Jun Wang, Chuan Ma, Chunpeng Ge, Xiangmou Qu, Lu Zhou

IEEE Trans. Inf. Forensics Secur., 2024

Enhancing Resilience in Website Fingerprinting: Novel Adversary Strategies for Noisy Traffic Environments.

Yuwen Qian, Guodong Huang, Chuan Ma, Ming Ding, Long Yuan, Zi Chen, Kai Wang

IEEE Trans. Inf. Forensics Secur., 2024

BadCleaner: Defending Backdoor Attacks in Federated Learning via Attention-Based Multi-Teacher Distillation.

Jiale Zhang, Chengcheng Zhu, Chunpeng Ge, Chuan Ma, Yanchao Zhao, Xiaobing Sun, Bing Chen

IEEE Trans. Dependable Secur. Comput., 2024

Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor

IEEE Trans. Dependable Secur. Comput., 2024

Accelerating Graph Embedding Through Secure Distributed Outsourcing Computation in Internet of Things.

Pengyu Cui, Yunting Tao, Bin Zhen, Fanyu Kong, Chunpeng Ge, Chuan Ma, Jia Yu

IEEE Internet Things J., 2024

Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption.

Siyang Jiang, Hao Yang, Qipeng Xie, Chuan Ma, Sen Wang, Guoliang Xing

CoRR, 2024

EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection.

Yuwen Qian, Shuchi Wu, Kang Wei, Ming Ding, Di Xiao, Tao Xiang, Chuan Ma, Song Guo

CoRR, 2024

ISPPFL: An incentive scheme based privacy-preserving federated learning for avatar in metaverse.

Yang Bai, Gaojie Xing, Hongyan Wu, Zhihong Rao, Chengzong Peng, Yutang Rao, Wentao Yang, Chuan Ma, Jiani Li, Yimin Zhou

Comput. Networks, 2024

Gradient sparsification for efficient wireless federated learning with differential privacy.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Feng Shu, Haitao Zhao, Wen Chen, Hongbo Zhu

Sci. China Inf. Sci., 2024

Optimizing Information Freshness in Mobile Networks with Age-Threshold ALOHA.

Fangming Zhao, Nikolaos Pappas, Chuan Ma, Xinghua Sun, Tony Q. S. Quek, Howard H. Yang

Proceedings of the IEEE International Symposium on Information Theory, 2024

Towards Efficient Backdoor Attacks Against Federated Self-supervised Learning as a Service Through Intra-Union Aggregation.

Shuchi Wu, Chuan Ma, Kang Wei, Ming Ding, Jiyun Yang, Yuwen Qian

Proceedings of the Service Science - CCF 17th International Conference, 2024

Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy (Extended abstract).

Chuan Ma, Long Yuan, Li Han, Ming Ding, Raghav Bhaskar, Jun Li

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-relational Extraction.

Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Di Xiao, Tao Xiang

Proceedings of the Computer Vision - ECCV 2024, 2024

Attribute-Missing Graph Clustering Network.

Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning.

Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor

Proc. IEEE, September, 2023

LAFED: A lightweight authentication mechanism for blockchain-enabled federated learning system.

Shan Ji, Jiale Zhang, Yongjing Zhang, Zhaoyang Han, Chuan Ma

Future Gener. Comput. Syst., August, 2023

Proofs of retrievability with tag outsourcing based on Goppa codes.

Shan Ji, Wei Zhou, Chuan Ma, Dafang Li, Kui Zhu, Liming Fang

Comput. Stand. Interfaces, August, 2023

Blockchain Assisted Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Client Scheduling.

Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor

IEEE Trans. Wirel. Commun., May, 2023

Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy.

Chuan Ma, Long Yuan, Li Han, Ming Ding, Raghav Bhaskar, Jun Li

IEEE Trans. Knowl. Data Eng., April, 2023

Low-Latency Federated Learning With DNN Partition in Distributed Industrial IoT Networks.

Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen

IEEE J. Sel. Areas Commun., March, 2023

Personalized Federated Learning With Differential Privacy and Convergence Guarantee.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Wen Chen, Jun Wu, Meixia Tao, H. Vincent Poor

IEEE Trans. Inf. Forensics Secur., 2023

RDP-GAN: A Rényi-Differential Privacy Based Generative Adversarial Network.

Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor

IEEE Trans. Dependable Secur. Comput., 2023

Age-Threshold Slotted ALOHA for Optimizing Information Freshness in Mobile Networks.

Fangming Zhao, Nikolaos Pappas, Chuan Ma, Xinghua Sun, Tony Q. S. Quek, Howard H. Yang

CoRR, 2023

Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction.

Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Tao Xiang

CoRR, 2023

G²uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering.

Hao Yu, Chuan Ma, Meng Liu, Xinwang Liu, Zhe Liu, Ming Ding

CoRR, 2023

Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Haitao Zhao, Wen Chen, Hongbo Zhu

CoRR, 2023

RARE: Robust Masked Graph Autoencoder.

Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai

CoRR, 2023

Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic.

Guodong Huang, Chuan Ma, Ming Ding, Yuwen Qian, Chunpeng Ge, Liming Fang, Zhe Liu

Proceedings of the ACM Web Conference 2023, 2023

Consistency of Multiple Kernel Clustering.

Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu

Proceedings of the International Conference on Machine Learning, 2023

Personalized Federated Deep Reinforcement Learning-based Trajectory Optimization for Multi-UAV Assisted Edge Computing.

Zhengrong Song, Chuan Ma, Ming Ding, Howard H. Yang, Yuwen Qian, Xiangwei Zhou

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Sparse Federated Training of Object Detection in the Internet of Vehicles.

Luping Rao, Chuan Ma, Ming Ding, Yuwen Qian, Lu Zhou, Zhe Liu

Proceedings of the IEEE International Conference on Communications, 2023

Blockchain-aided Cooperative Spectrum Sensing: Decentralized Reputation Management and Performance Optimization.

Yafan Yang, Long Shi, Jun Li, Taotao Wang, Zhe Wang, Bin Cao, Chuan Ma

Proceedings of the IEEE Global Communications Conference, 2023

Analysis of Age of Information in Non-terrestrial Networks.

Yanwu Lu, Howard H. Yang, Nikolaos Pappas, Giovanni Geraci, Chuan Ma, Tony Q. S. Quek

Proceedings of the IEEE Globecom Workshops 2023, 2023

Interpretability-Based Cross-Silo Federated Learning.

Wenjie Zhou, Zhaoyang Han, Chuan Ma, Zhe Liu, Piji Li

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

Federated Learning-Based Localization With Heterogeneous Fingerprint Database.

Xin Cheng, Chuan Ma, Jun Li, Haiwei Song, Feng Shu, Jiangzhou Wang

IEEE Wirel. Commun. Lett., 2022

Path Planning for the Dynamic UAV-Aided Wireless Systems Using Monte Carlo Tree Search.

Yuwen Qian, Kexin Sheng, Chuan Ma, Jun Li, Ming Ding, Mahbub Hassan

IEEE Trans. Veh. Technol., 2022

Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation.

Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor

IEEE Trans. Parallel Distributed Syst., 2022

User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor

IEEE Trans. Mob. Comput., 2022

Providing Location Information at Edge Networks: A Federated Learning-Based Approach.

Xin Cheng, Tingting Liu, Feng Shu, Chuan Ma, Jun Li, Jiangzhou Wang

IEEE Netw., 2022

Low-Latency Federated Learning Over Wireless Channels With Differential Privacy.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor

IEEE J. Sel. Areas Commun., 2022

Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning.

Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor

CoRR, 2022

Vertical Federated Learning: Challenges, Methodologies and Experiments.

Kang Wei, Jun Li, Chuan Ma, Ming Ding, Sha Wei, Fan Wu, Guihai Chen, Thilina Ranbaduge

CoRR, 2022

When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm.

Chuan Ma, Jun Li, Long Shi, Ming Ding, Taotao Wang, Zhu Han, H. Vincent Poor

IEEE Comput. Intell. Mag., 2022

Privacy Preserving Federated Learning Using CKKS Homomorphic Encryption.

Fengyuan Qiu, Hao Yang, Lu Zhou, Chuan Ma, Liming Fang

Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

2021

Federated Learning With Unreliable Clients: Performance Analysis and Mechanism Design.

Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor

IEEE Internet Things J., 2021

On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels.

Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor

CoRR, 2021

A Hybrid Spatiotemporal Attack in Continuous LBS Queries.

Yongjie Zhan, Le Li, Yuwen Qian, Chuan Ma, Ming Ding, Bo Liu

Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

2020

Federated Learning With Differential Privacy: Algorithms and Performance Analysis.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor

IEEE Trans. Inf. Forensics Secur., 2020

On Safeguarding Privacy and Security in the Framework of Federated Learning.

Chuan Ma, Jun Li, Ming Ding, Howard H. Yang, Feng Shu, Tony Q. S. Quek, H. Vincent Poor

IEEE Netw., 2020

Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients.

Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han, H. Vincent Poor

CoRR, 2020

Performance Analysis and Optimization in Privacy-Preserving Federated Learning.

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor

CoRR, 2020

2019

Localized Small Cell Caching: A Machine Learning Approach Based on Rating Data.

Peng Cheng, Chuan Ma, Ming Ding, Yongjun Hu, Zihuai Lin, Yonghui Li, Branka Vucetic

IEEE Trans. Commun., 2019

2018

Distributed Resource Allocation and Performance Analysis in 5G Wireless Cellular Networks.

Chuan Ma

PhD thesis, 2018

Socially Aware Caching Strategy in Device-to-Device Communication Networks.

Chuan Ma, Ming Ding, He Chen, Zihuai Lin, Guoqiang Mao, Ying-Chang Liang, Branka Vucetic

IEEE Trans. Veh. Technol., 2018

Performance Analysis of the Idle Mode Capability in a Dense Heterogeneous Cellular Network.

Chuan Ma, Ming Ding, David López-Pérez, Zihuai Lin, Jun Li, Guoqiang Mao

IEEE Trans. Commun., 2018

On the performance of multi-tier heterogeneous cellular networks with idle mode capability.

Chuan Ma, Ming Ding, He Chen, Zihuai Lin, Guoqiang Mao, David López-Pérez

Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

A Reinforcement Learning Based User Association Algorithm for UAV Networks.

Qingzhi Li, Ming Ding, Chuan Ma, Chang Liu, Zihuai Lin, Ying-Chang Liang

Proceedings of the 28th International Telecommunication Networks and Applications Conference, 2018

Performance Analysis for Practical Unmanned Aerial Vehicle Networks with LoS/NLoS Transmissions.

Chang Liu, Ming Ding, Chuan Ma, Qingzhi Li, Zihuai Lin, Ying-Chang Liang

Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

2016

On the performance of interference cancelation in D2D-enabled cellular networks.

Chuan Ma, Weijie Wu, Ying Cui, Xinbing Wang

Wirel. Commun. Mob. Comput., 2016

Cooperative Spectrum Sharing in D2D-Enabled Cellular Networks.

Chuan Ma, Yuqing Li, Hui Yu, Xiaoying Gan, Xinbing Wang, Yong Ren, Jun (Jim) Xu

IEEE Trans. Commun., 2016

Learning automaton based distributed caching for mobile social networks.

Chuan Ma, Zihuai Lin, Loris Marini, Jun Li, Branka Vucetic

Proceedings of the IEEE Wireless Communications and Networking Conference, 2016

Socially Aware Distributed Caching in Device-to-Device Communication Networks.

Chuan Ma, Ming Ding, He Chen, Zihuai Lin, Guoqiang Mao, Xu Li

Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

2015

Interference Exploitation in D2D-Enabled Cellular Networks: A Secrecy Perspective.

Chuan Ma, Jiaqi Liu, Xiaohua Tian, Hui Yu, Ying Cui, Xinbing Wang

IEEE Trans. Commun., 2015

On the performance of successive interference cancellation in D2D-enabled cellular networks.

Chuan Ma, Weijie Wu, Ying Cui, Xinbing Wang

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

2013

Secrecy-Based Access Control for Device-to-Device Communication Underlaying Cellular Networks.

Jianting Yue, Chuan Ma, Hui Yu, Wei Zhou

IEEE Commun. Lett., 2013

Multicast/broadcast service in integrated VANET-cellular heterogeneous wireless networks.

Wei Zhou, Changcheng Ren, Chuan Ma, Hui Yu, Hanwen Luo, Xiaoying Gan, Wang Xi

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2013

Secrecy-based channel assignment for device-to-device communication: An auction approach.

Jianting Yue, Chuan Ma, Hui Yu, Zhen Yang, Xiaoying Gan

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2013

Cooperative relaying schemes for device-to-device communication underlaying cellular networks.

Chuan Ma, Gaofei Sun, Xiaohua Tian, Kai Ying, Hui Yu, Xinbing Wang

Proceedings of the 2013 IEEE Global Communications Conference, 2013

2012

Inter-Tier Handover in Macrocell/Relay/Femtocell Heterogeneous Networks.

Chuan Ma, Guanding Yu, Jietao Zhang

Proceedings of the 75th IEEE Vehicular Technology Conference, 2012

Reference signal power control for load balancing in downlink LTE-A self-organizing networks.

Chuan Ma, Rui Yin, Guanding Yu, Jietao Zhang

Proceedings of the 23rd IEEE International Symposium on Personal, 2012

2011

A node grouping algorithm for joint relay selection and resource allocation in cooperative cognitive radio networks.

Chuan Ma, Guanding Yu, Jietao Zhang

Proceedings of the 2011 International Conference on Wireless Communications & Signal Processing, 2011

2010

Analysis of cognitive radio spectrum access with finite primary users and infinite secondary users.

Qiming Tian, Chuan Ma, Guanding Yu, Aiping Huang

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2010