Xi Lin

Orcid: 0000-0001-5303-1191

Affiliations:
  • Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, School of Cyber Security, China
  • Tianjin University, School of Precision Instrument and Opto-Electronics Engineering, China (former)


According to our database1, Xi Lin authored at least 52 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks.
IEEE Internet Things J., November, 2024

HSESR: Hierarchical Software Execution State Representation for Ultralow-Latency Threat Alerting Over Internet of Things.
IEEE Internet Things J., November, 2024

Joint Top-K Sparsification and Shuffle Model for Communication-Privacy-Accuracy Tradeoffs in Federated-Learning-Based IoV.
IEEE Internet Things J., June, 2024

Integrating Blockchain and Deep Learning Into Extremely Resource-Constrained IoT: An Energy-Saving Zero-Knowledge PoL Approach.
IEEE Internet Things J., February, 2024

Generative AI for Software Security Analysis: Fundamentals, Applications, and Challenges.
IEEE Softw., 2024

Trustworthy AI-Generative Content in Intelligent 6G Network: Adversarial, Privacy, and Fairness.
CoRR, 2024

Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices.
CoRR, 2024

LinkGuard: Link Locally Privacy-Preserving Graph Neural Networks with Integrated Denoising and Private Learning.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Local Differential Private Spatio- Temporal Dynamic Graph Learning for Wireless Social Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Towards Multi-Task Generative-AI Edge Services with an Attention-based Diffusion DRL Approach.
Proceedings of the 9th IEEE International Conference on Smart Cloud, 2024

LateBA: Latent Backdoor Attack on Deep Bug Search via Infrequent Execution Codes.
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

Multi-Agent RL-Based Industrial AIGC Service Offloading over Wireless Edge Networks.
Proceedings of the IEEE INFOCOM 2024, 2024

Leveraging Blockchain and Coded Computing for Secure Edge Collaborate Learning in Industrial IoT.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

Scale Wisely, Secure Wholly: P2P Swarm Learning Over Consortium Blockchain in Edge Networks.
Proceedings of the IEEE International Conference on Communications, 2024

Learning-Based DApp Task Scheduling for Elastic Hybrid Computing in Edge Web 3.0.
Proceedings of the IEEE International Conference on Communications, 2024

OpticGAI: Generative AI-aided Deep Reinforcement Learning for Optical Networks Optimization.
Proceedings of the 1st SIGCOMM Workshop on Hot Topics in Optical Technologies and Applications in Networking, 2024

Trading Trust for Privacy: Socially-Motivated Personalized Privacy-Preserving Collaborative Learning in IoT.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

BlockAgents: Towards Byzantine-Robust LLM-Based Multi-Agent Coordination via Blockchain.
Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Digital Twin and Artificial Intelligence-Empowered Panoramic Video Streaming: Reducing Transmission Latency in the Extended Reality-Assisted Vehicular Metaverse.
IEEE Veh. Technol. Mag., December, 2023

Privacy-Preserving Cross-Area Traffic Forecasting in ITS: A Transferable Spatial-Temporal Graph Neural Network Approach.
IEEE Trans. Intell. Transp. Syst., December, 2023

Game-Aided Blockchain Twin for Incentive and Relay-Free Model Sharing in Heterogeneous Chain-Driven Swarm Learning.
IEEE Syst. J., December, 2023

IC-QKD: An Information-Centric Quantum Key Distribution Network.
IEEE Commun. Mag., December, 2023

Secure Digital Twin Migration in Edge-Based Autonomous Driving System.
IEEE Consumer Electron. Mag., November, 2023

Stochastic Digital-Twin Service Demand With Edge Response: An Incentive-Based Congestion Control Approach.
IEEE Trans. Mob. Comput., April, 2023

Friend-as-Learner: Socially-Driven Trustworthy and Efficient Wireless Federated Edge Learning.
IEEE Trans. Mob. Comput., 2023

Heterogeneous Differential-Private Federated Learning: Trading Privacy for Utility Truthfully.
IEEE Trans. Dependable Secur. Comput., 2023

Blockchain-Enabled Lightweight Fine-Grained Searchable Knowledge Sharing for Intelligent IoT.
IEEE Internet Things J., 2023

DRL-Driven Digital Twin Function Virtualization for Adaptive Service Response in 6G Networks.
IEEE Netw. Lett., 2023

DPG-DT: Differentially Private Generative Digital Twin for Imbalanced Learning in Industrial IoT.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

Wireless Coded Distributed Learning with Gaussian-based Local Differential Privacy.
Proceedings of the IEEE International Symposium on Information Theory, 2023

SemSBA: Semantic-perturbed Stealthy Backdoor Attack on Federated Semi-supervised Learning.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Digital Twin and DRL-Driven Semantic Dissemination for 6G Autonomous Driving Service.
Proceedings of the IEEE Global Communications Conference, 2023

Toward the Tradeoffs Between Privacy, Fairness and Utility in Federated Learning.
Proceedings of the Emerging Information Security and Applications, 2023

Blockchain-Assisted UAV Data Free-Boundary Spatial Querying and Authenticated Sharing.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Ensuring Minority Group Rights in Social IoT with Fairness-aware Federated Graph Node Classification.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

Content Style-triggered Backdoor Attack in Non-IID Federated Learning via Generative AI.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022
FairHealth: Long-Term Proportional Fairness-Driven 5G Edge Healthcare in Internet of Medical Things.
IEEE Trans. Ind. Informatics, 2022

Blockchain-Based Incentive Energy-Knowledge Trading in IoT: Joint Power Transfer and AI Design.
IEEE Internet Things J., 2022

When digital twin meets deep reinforcement learning in multi-UAV path planning.
Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2022

On-Demand Incentive Design for Security-Defense Resource Allocation in 6G Vehicular Edge Learning.
Proceedings of the IEEE International Conference on Communications, 2022

Metric Learning-based Few-Shot Malicious Node Detection for IoT Backhaul/Fronthaul Networks.
Proceedings of the IEEE Global Communications Conference, 2022

Joint Routing, Channel, and Key-Rate Assignment for Resource-Efficient QKD Networking.
Proceedings of the IEEE Global Communications Conference, 2022

Contrastive GNN-based Traffic Anomaly Analysis Against Imbalanced Dataset in IoT-based ITS.
Proceedings of the IEEE Global Communications Conference, 2022

ZTEI: Zero-Trust and Edge Intelligence Empowered Continuous Authentication for Satellite Networks.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Blockchain-Based On-Demand Computing Resource Trading in IoV-Assisted Smart City.
IEEE Trans. Emerg. Top. Comput., 2021

Deep-Reinforcement-Learning-Based Cybertwin Architecture for 6G IIoT: An Integrated Design of Control, Communication, and Computing.
IEEE Internet Things J., 2021

Side-Channel Analysis-Based Model Extraction on Intelligent CPS: An Information Theory Perspective.
Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

2019
Making Knowledge Tradable in Edge-AI Enabled IoT: A Consortium Blockchain-Based Efficient and Incentive Approach.
IEEE Trans. Ind. Informatics, 2019

Decentralized On-Demand Energy Supply for Blockchain in Internet of Things: A Microgrids Approach.
IEEE Trans. Comput. Soc. Syst., 2019

MBID: Micro-Blockchain-Based Geographical Dynamic Intrusion Detection for V2X.
IEEE Commun. Mag., 2019

Vehicle-to-Cloudlet: Game-Based Computation Demand Response for Mobile Edge Computing through Vehicles.
Proceedings of the 89th IEEE Vehicular Technology Conference, 2019


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