Dayong Ye

According to our database, Dayong Ye authored at least 84 papers between 2008 and 2024.

Collaborative distances:

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

2024

Public and Private Blockchain Infusion: A Novel Approach to Federated Learning.

Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou

IEEE Internet Things J., May, 2024

Blockchain-Based Gradient Inversion and Poisoning Defense for Federated Learning.

Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou

IEEE Internet Things J., May, 2024

Location-Based Real-Time Updated Advising Method for Traffic Signal Control.

Congcong Zhu, Dayong Ye, Tianqing Zhu, Wanlei Zhou

IEEE Internet Things J., April, 2024

Blockchain-Empowered Multiagent Systems: Advancing IoT Security and Transaction Efficiency.

Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou

IEEE Internet Things J., April, 2024

A Concurrent Federated Reinforcement Learning for IoT Resources Allocation With Local Differential Privacy.

Wei Zhou, Tianqing Zhu, Dayong Ye, Wei Ren, Kim-Kwang Raymond Choo

IEEE Internet Things J., February, 2024

Inversion-Guided Defense: Detecting Model Stealing Attacks by Output Inverting.

Shuai Zhou, Tianqing Zhu, Dayong Ye, Wanlei Zhou, Wei Zhao

IEEE Trans. Inf. Forensics Secur., 2024

Defending Against Label-Only Attacks via Meta-Reinforcement Learning.

Dayong Ye, Tianqing Zhu, Kun Gao, Wanlei Zhou

IEEE Trans. Inf. Forensics Secur., 2024

Boosting Model Inversion Attacks With Adversarial Examples.

Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou

IEEE Trans. Dependable Secur. Comput., 2024

A location-based advising method in teacher-student frameworks.

Congcong Zhu, Dayong Ye, Huan Huo, Wanlei Zhou, Tianqing Zhu

Knowl. Based Syst., 2024

Privacy preservation in deep reinforcement learning: A training perspective.

Sheng Shen, Dayong Ye, Tianqing Zhu, Wanlei Zhou

Knowl. Based Syst., 2024

A federated advisory teacher-student framework with simultaneous learning agents.

Yunjiao Lei, Dayong Ye, Tianqing Zhu, Wanlei Zhou

Knowl. Based Syst., 2024

Defending against gradient inversion attacks in federated learning via statistical machine unlearning.

Kun Gao, Tianqing Zhu, Dayong Ye, Wanlei Zhou

Knowl. Based Syst., 2024

A GNN-based teacher-student framework with multi-advice.

Yunjiao Lei, Dayong Ye, Congcong Zhu, Sheng Shen, Wanlei Zhou, Tianqing Zhu

Expert Syst. Appl., 2024

When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?

Shang Wang, Tianqing Zhu, Dayong Ye, Wanlei Zhou

CoRR, 2024

The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies.

Feng He, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou, Philip S. Yu

CoRR, 2024

Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey.

Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Xu Guo, Dayong Ye, Wanlei Zhou, Philip S. Yu

CoRR, 2024

Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning.

Xuhan Zuo, Minghao Wang, Tianqing Zhu, Lefeng Zhang, Dayong Ye, Shui Yu, Wanlei Zhou

CoRR, 2024

2023

Privacy and evolutionary cooperation in neural-network-based game theory.

Zishuo Cheng, Tianqing Zhu, Congcong Zhu, Dayong Ye, Wanlei Zhou, Philip S. Yu

Knowl. Based Syst., December, 2023

Model-Based Self-Advising for Multi-Agent Learning.

Dayong Ye, Tianqing Zhu, Congcong Zhu, Wanlei Zhou, Philip S. Yu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Time-Driven and Privacy-Preserving Navigation Model for Vehicle-to-Vehicle Communication Systems.

Congcong Zhu, Zishuo Cheng, Dayong Ye, Farookh Khadeer Hussain, Tianqing Zhu, Wanlei Zhou

IEEE Trans. Veh. Technol., July, 2023

Evolution of cooperation in malicious social networks with differential privacy mechanisms.

Tao Zhang, Dayong Ye, Tianqing Zhu, Tingting Liao, Wanlei Zhou

Neural Comput. Appl., June, 2023

Learning Games for Defending Advanced Persistent Threats in Cyber Systems.

Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou, Philip S. Yu

IEEE Trans. Syst. Man Cybern. Syst., April, 2023

Label-Only Model Inversion Attacks: Attack With the Least Information.

Tianqing Zhu, Dayong Ye, Shuai Zhou, Bo Liu, Wanlei Zhou

IEEE Trans. Inf. Forensics Secur., 2023

A Game-Theoretic Method for Defending Against Advanced Persistent Threats in Cyber Systems.

Lefeng Zhang, Tianqing Zhu, Farookh Khadeer Hussain, Dayong Ye, Wanlei Zhou

IEEE Trans. Inf. Forensics Secur., 2023

Multi-Agent Reinforcement Learning for Online Food Delivery with Location Privacy Preservation.

Suleiman Abahussein, Dayong Ye, Congcong Zhu, Zishuo Cheng, Umer Siddique, Sheng Shen

Inf., 2023

Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity.

Shuai Zhou, Chi Liu, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu

ACM Comput. Surv., 2023

Reinforcement Unlearning.

Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Jason Xue, Sheng Shen, Wanlei Zhou

CoRR, 2023

New challenges in reinforcement learning: a survey of security and privacy.

Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou

Artif. Intell. Rev., 2023

Protect Trajectory Privacy in Food Delivery with Differential Privacy and Multi-agent Reinforcement Learning.

Suleiman Abahussein, Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou

Proceedings of the Advanced Information Networking and Applications, 2023

2022

Time-optimal and privacy preserving route planning for carpool policy.

Congcong Zhu, Dayong Ye, Tianqing Zhu, Wanlei Zhou

World Wide Web, 2022

More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence.

Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2022

One Parameter Defense - Defending Against Data Inference Attacks via Differential Privacy.

Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou

IEEE Trans. Inf. Forensics Secur., 2022

Differentially Private Multi-Agent Planning for Logistic-Like Problems.

Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu

IEEE Trans. Dependable Secur. Comput., 2022

Differential Advising in Multiagent Reinforcement Learning.

Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu

IEEE Trans. Cybern., 2022

Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning.

Tianqing Zhu, Wei Zhou, Dayong Ye, Zishuo Cheng, Jin Li

IEEE Internet Things J., 2022

Multi-agent reinforcement learning via knowledge transfer with differentially private noise.

Zishuo Cheng, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu, Congcong Zhu

Int. J. Intell. Syst., 2022

Prioritized Experience Replay based on Multi-armed Bandit.

Ximing Liu, Tianqing Zhu, Cuiqing Jiang, Dayong Ye, Fuqing Zhao

Expert Syst. Appl., 2022

Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It.

Dayong Ye, Huiqiang Chen, Shuai Zhou, Tianqing Zhu, Wanlei Zhou, Shouling Ji

CoRR, 2022

Label-only Model Inversion Attack: The Attack that Requires the Least Information.

Dayong Ye, Tianqing Zhu, Shuai Zhou, Bo Liu, Wanlei Zhou

CoRR, 2022

A novel differentially private advising framework in cloud server environment.

Sheng Shen, Tianqing Zhu, Dayong Ye, Minghao Wang, Xuhan Zuo, Andi Zhou

Concurr. Comput. Pract. Exp., 2022

Privacy preservation auction in a dynamic social network.

Xiangyu Hu, Zhiping Jin, Lefeng Zhang, Andi Zhou, Dayong Ye

Concurr. Comput. Pract. Exp., 2022

Privacy-Preserving in Double Deep-Q-Network with Differential Privacy in Continuous Spaces.

Suleiman Abahussein, Zishuo Cheng, Tianqing Zhu, Dayong Ye, Wanlei Zhou

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021

A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries.

Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou

IEEE Trans. Inf. Forensics Secur., 2021

DP-Image: Differential Privacy for Image Data in Feature Space.

Bo Liu, Ming Ding, Hanyu Xue, Tianqing Zhu, Dayong Ye, Li Song, Wanlei Zhou

CoRR, 2021

2020

Efficient QoS-Aware Service Recommendation for Multi-Tenant Service-Based Systems in Cloud.

Yanchun Wang, Qiang He, Xuyun Zhang, Dayong Ye, Yun Yang

IEEE Trans. Serv. Comput., 2020

Differentially Private Malicious Agent Avoidance in Multiagent Advising Learning.

Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu

IEEE Trans. Cybern., 2020

Differential Advising in Multi-Agent Reinforcement Learning.

Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu

CoRR, 2020

2019

An Agent-Based Integrated Self-Evolving Service Composition Approach in Networked Environments.

Dayong Ye, Qiang He, Yanchun Wang, Yun Yang

IEEE Trans. Serv. Comput., 2019

Service Selection With QoS Correlations in Distributed Service-Based Systems.

Dongwei Li, Dayong Ye, Nan Gao, Shuliang Wang

IEEE Access, 2019

Simultaneously Advising via Differential Privacy in Cloud Servers Environment.

Sheng Shen, Tianqing Zhu, Dayong Ye, Mengmeng Yang, Tingting Liao, Wanlei Zhou

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

2018

Formulating Criticality-Based Cost-Effective Fault Tolerance Strategies for Multi-Tenant Service-Based Systems.

Yanchun Wang, Qiang He, Dayong Ye, Yun Yang

IEEE Trans. Software Eng., 2018

A Self-Adaptive Sleep/Wake-Up Scheduling Approach for Wireless Sensor Networks.

Dayong Ye, Minjie Zhang

IEEE Trans. Cybern., 2018

An agent-based service adaptation approach in distributed multi-tenant service-based systems.

Dayong Ye, Qiang He, Yanchun Wang, Yun Yang

J. Parallel Distributed Comput., 2018

Detection of transmissible service failure in distributed service-based systems.

Dayong Ye, Qiang He, Yanchun Wang, Yun Yang

J. Parallel Distributed Comput., 2018

An intelligent agent-based method for task allocation in competitive cloud environments.

Yan Kong, Minjie Zhang, Dayong Ye, Jinxiu Zhu, Junho Choi

Concurr. Comput. Pract. Exp., 2018

2017

A Survey of Self-Organization Mechanisms in Multiagent Systems.

Dayong Ye, Minjie Zhang, Athanasios V. Vasilakos

IEEE Trans. Syst. Man Cybern. Syst., 2017

Keyword Search for Building Service-Based Systems.

Qiang He, Rui Zhou, Xuyun Zhang, Yanchun Wang, Dayong Ye, Feifei Chen, John C. Grundy, Yun Yang

IEEE Trans. Software Eng., 2017

Localizing Runtime Anomalies in Service-Oriented Systems.

Qiang He, Xiaoyuan Xie, Yanchun Wang, Dayong Ye, Feifei Chen, Hai Jin, Yun Yang

IEEE Trans. Serv. Comput., 2017

A belief propagation-based method for task allocation in open and dynamic cloud environments.

Yan Kong, Minjie Zhang, Dayong Ye

Knowl. Based Syst., 2017

An Agent-Based Decentralised Service Monitoring Approach in Multi-Tenant Service-Based Systems.

Dayong Ye, Qiang He, Yanchun Wang, Yun Yang

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Formulating Criticality-Based Cost-Effective Monitoring Strategies for Multi-Tenant Service-Based Systems.

Yanchun Wang, Qiang He, Dayong Ye, Yun Yang

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Efficient Keyword Search for Building Service-Based Systems Based on Dynamic Programming.

Qiang He, Rui Zhou, Xuyun Zhang, Yanchun Wang, Dayong Ye, Feifei Chen, Shiping Chen, John Grundy, Yun Yang

Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

Service Selection Based on Correlated QoS Requirements.

Yanchun Wang, Qiang He, Dayong Ye, Yun Yang

Proceedings of the 2017 IEEE International Conference on Services Computing, 2017

2016

An Auction-Based Approach for Group Task Allocation in an Open Network Environment.

Yan Kong, Minjie Zhang, Dayong Ye

Comput. J., 2016

2015

A Self-Adaptive Strategy for Evolution of Cooperation in Distributed Networks.

Dayong Ye, Minjie Zhang

IEEE Trans. Computers, 2015

A Multi-Agent Framework for Packet Routing in Wireless Sensor Networks.

Dayong Ye, Minjie Zhang, Yun Yang

Sensors, 2015

Decentralised dispatch of distributed energy resources in smart grids via multi-agent coalition formation.

Dayong Ye, Minjie Zhang, Danny Sutanto

J. Parallel Distributed Comput., 2015

A negotiation-based method for task allocation with time constraints in open grid environments.

Yan Kong, Minjie Zhang, Dayong Ye

Concurr. Comput. Pract. Exp., 2015

2014

Cloning, Resource Exchange, and RelationAdaptation: An Integrative Self-Organisation Mechanism in a Distributed Agent Network.

Dayong Ye, Minjie Zhang, Danny Sutanto

IEEE Trans. Parallel Distributed Syst., 2014

A Group Task Allocation Strategy in Open and Dynamic Grid Environments.

Yan Kong, Minjie Zhang, Dayong Ye

Proceedings of the Recent Advances in Agent-based Complex Automated Negotiation [revised and extended papers from the 7th International Workshop on Agent-based Complex Automated Negotiation, 2014

2013

Self-Adaptation-Based Dynamic Coalition Formation in a Distributed Agent Network: A Mechanism and a Brief Survey.

Dayong Ye, Minjie Zhang, Danny Sutanto

IEEE Trans. Parallel Distributed Syst., 2013

A Study on the Evolution of Cooperation in Networks.

Dayong Ye, Minjie Zhang

Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

2012

Self-organization in an agent network: A mechanism and a potential application.

Dayong Ye, Minjie Zhang, Danny Sutanto

Decis. Support Syst., 2012

Cloning, resource exchange and relation adaptation: a self-organising multi-agent framework.

Dayong Ye, Minjie Zhang, Danny Sutanto

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Integrating self-organisation into dynamic coalition formation.

Dayong Ye, Minjie Zhang, Danny Sutanto

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011

A Composite Self-organisation Mechanism in an Agent Network.

Dayong Ye, Minjie Zhang, Quan Bai

Proceedings of the Web Information System Engineering - WISE 2011, 2011

2010

A Novel Task Allocation Protocol in Agent Organizations and Its Application to Health Care Problems.

Dayong Ye, Minjie Zhang, Quan Bai, Khin Than Win

Int. J. Comput. Their Appl., 2010

Self-organisation in an Agent Network via Multiagent Q-Learning.

Dayong Ye, Minjie Zhang, Quan Bai, Takayuki Ito

Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010

Self-organisation in an agent network via learning.

Dayong Ye, Minjie Zhang, Danny Sutanto

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009

A Hybrid Multi-Agent Framework for Load Management in Power Grid Systems.

Minjie Zhang, Dayong Ye, Quan Bai, Danny Sutanto, Kashem M. Muttaqi

Proceedings of the Advances in Practical Multi-Agent Systems, 2009

DGF: Decentralized Group Formation for Task Allocation in Complex Adaptive Systems.

Dayong Ye, Minjie Zhang, Danny Sutanto

Proceedings of the Advances in Practical Multi-Agent Systems, 2009

An Efficient Task Allocation Protocol for P2P Multi-agent Systems.

Dayong Ye, Quan Bai, Minjie Zhang, Khin Than Win, Zhiqi Shen

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2009

2008

Ontology-Based Knowledge Representation for a P2P Multi-agent Distributed Intrusion Detection System.

Dayong Ye, Quan Bai, Minjie Zhang

Proceedings of the IFIP International Conference on Network and Parallel Computing, 2008

P2P Distributed Intrusion Detections by Using Mobile Agents.

Dayong Ye, Quan Bai, Minjie Zhang, Zhen Ye

Proceedings of the 7th IEEE/ACIS International Conference on Computer and Information Science, 2008