Gaolei Li

Orcid: 0000-0003-3913-5001

According to our database1, Gaolei Li authored at least 71 papers between 2015 and 2024.

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Bibliography

2024
Protecting Intellectual Property With Reliable Availability of Learning Models in AI-Based Cybersecurity Services.
IEEE Trans. Dependable Secur. Comput., 2024

Communications Security in Industry X: A Survey.
IEEE Open J. Commun. Soc., 2024

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

On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks.
CoRR, 2024

Slicer Networks.
CoRR, 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
Recurrent Semantic Learning-Driven Fast Binary Vulnerability Detection in Healthcare Cyber Physical Systems.
IEEE Trans. Netw. Sci. Eng., 2023

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

Multitentacle Federated Learning Over Software-Defined Industrial Internet of Things Against Adaptive Poisoning Attacks.
IEEE Trans. Ind. Informatics, 2023

Spatially Covariant Image Registration with Text Prompts.
CoRR, 2023

Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach.
CoRR, 2023

Secure Semantic Communications: Fundamentals and Challenges.
CoRR, 2023

Reinforcement Learning-Empowered Decentralized Channel Selection for Dense Wi-Fi 7 Networks.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats.
Proceedings of the International Conference on Smart Applications, 2023

Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios.
Proceedings of the International Joint Conference on Neural Networks, 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

FairShare: An Incentive-Based Fairness-Aware Data Sharing Framework for Federated Learning.
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

Entity Interactivity-Aware Graph Encoder-Decoder Networks for Explainable Relation Prediction against Advanced Persistent Threats.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Black-Box Graph Backdoor Defense.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

Dynamic Path Planning Based on Traffic Flow Prediction and Traffic Light Status.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

PBE-Plan: Periodic Backdoor Erasing Plan for Trustworthy Federated Learning.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Spatial-Temporal Attention-Based mmWave Link Quality Prediction Under Dynamic Blockages.
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

TagClass: A Tool for Extracting Class-Determined Tags from Massive Malware Labels via Incremental Parsing.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

IVSign: Interpretable Vulnerability Signature via Code Embedding and Static Analysis.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

AdvBinSD: Poisoning the Binary Code Similarity Detector via Isolated Instruction Sequences.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 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

PerCBA: Persistent Clean-label Backdoor Attacks on Semi-Supervised Graph Node Classification.
Proceedings of the IJCAI-23 Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning (AISafety-SafeRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence(IJCAI2023), 2023

2022
Progressive Slice Recovery With Guaranteed Slice Connectivity After Massive Failures.
IEEE/ACM Trans. Netw., 2022

FLAG: Few-Shot Latent Dirichlet Generative Learning for Semantic-Aware Traffic Detection.
IEEE Trans. Netw. Serv. Manag., 2022

Explainable Intelligence-Driven Defense Mechanism Against Advanced Persistent Threats: A Joint Edge Game and AI Approach.
IEEE Trans. Dependable Secur. Comput., 2022

Emerging Technologies for Next Generation Remote Health Care and Assisted Living.
IEEE Access, 2022

Propagable Backdoors over Blockchain-based Federated Learning via Sample-Specific Eclipse.
Proceedings of the IEEE Global Communications Conference, 2022

Digital Transformation (DX) for Skill Learners: The Design Methodology and Implementation of Educational Chatbot using Knowledge Connection and Emotional Expression.
Proceedings of the IEEE Global Engineering Education Conference, 2022

2021
Deep Neural Backdoor in Semi-Supervised Learning: Threats and Countermeasures.
IEEE Trans. Inf. Forensics Secur., 2021

Leveraging Graph Convolutional-LSTM for Energy-Efficient Caching in Blockchain-Based Green IoT.
IEEE Trans. Green Commun. Netw., 2021

Automatically Lock Your Neural Networks When You're Away.
CoRR, 2021

GradMFL: Gradient Memory-Based Federated Learning for Hierarchical Knowledge Transferring Over Non-IID Data.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

PFCC: Predictive Fast Consensus Convergence for Mobile Blockchain over 5G Slicing-enabled IoT.
Proceedings of the IEEE Global Communications Conference, 2021

DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Processing capability and QoE driven optimized computation offloading scheme in vehicular fog based F-RAN.
World Wide Web, 2020

DeSVig: Decentralized Swift Vigilance Against Adversarial Attacks in Industrial Artificial Intelligence Systems.
IEEE Trans. Ind. Informatics, 2020

Preserving Edge Knowledge Sharing Among IoT Services: A Blockchain-Based Approach.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Multistability in a quasiperiodically forced piecewise smooth dynamical system.
Commun. Nonlinear Sci. Numer. Simul., 2020

2019
EdgeLaaS: Edge Learning as a Service for Knowledge-Centric Connected Healthcare.
IEEE Netw., 2019

CDLB: a cross-domain load balancing mechanism for software defined networks in cloud data centre.
Int. J. Comput. Sci. Eng., 2019

Strange nonchaotic attractors in a nonsmooth dynamical system.
Commun. Nonlinear Sci. Numer. Simul., 2019

Toward Dynamic Computation Offloading for Data Processing in Vehicular Fog Based F-RAN.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

2018
Service Popularity-Based Smart Resources Partitioning for Fog Computing-Enabled Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2018

Software-defined dynamic QoS provisioning for smart metering in energy Internet using fog computing and network calculus.
IET Cyper-Phys. Syst.: Theory & Appl., 2018

Fog-enabled Edge Learning for Cognitive Content-Centric Networking in 5G.
CoRR, 2018

QoS-Predicted Energy Efficient Routing for Information-Centric Smart Grid: A Network Calculus Approach.
IEEE Access, 2018

Energy-Efficient Location Privacy Preserving in Vehicular Networks Using Social Intimate Fogs.
IEEE Access, 2018

SLA-Aware Fine-Grained QoS Provisioning for Multi-Tenant Software-Defined Networks.
IEEE Access, 2018

Fog Computing-Enabled Secure Demand Response for Internet of Energy Against Collusion Attacks Using Consensus and ACE.
IEEE Access, 2018

MapReduce Enabling Content Analysis Architecture for Information-Centric Networks Using CNN.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Resource-Efficient Secure Data Sharing for Information Centric E-Health System Using Fog Computing.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Sema-ICN: Toward Semantic Information-Centric Networking Supporting Smart Anomalous Access Detection.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Software-defined networking model for smart transformers with ISO/IEC/IEEE 21451 sensors.
ICT Express, 2017

SDN Based Content-Centric QoS-Guaranteed for Wireless Multimedia Sensor Networks.
Proceedings of the Industrial Networks and Intelligent Systems, 2017

Fog computing based content-aware taxonomy for caching optimization in information-centric networks.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

Towards QoE named content-centric wireless multimedia sensor networks with mobile sinks.
Proceedings of the IEEE International Conference on Communications, 2017

Software-Defined Efficient Service Reconstruction in Fog Using Content Awareness and Weighted Graph.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

SD-OPTS: Software-Defined On-Path Time Synchronization for Information-Centric Smart Grid.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
A Safety Resource Allocation Mechanism against Connection Fault for Vehicular Cloud Computing.
Mob. Inf. Syst., 2016

Security-Aware Distributed Service Composition for Wireless Sensor Networks Based Smart Metering in Smart Grid Using Software Defined Networks.
Proceedings of the Wireless Internet - 9th International Conference, 2016

Software-defined QoS provisioning for fog computing advanced wireless sensor networks.
Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016

Deep Packet Inspection Based Application-Aware Traffic Control for Software Defined Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
Chance Discovery Based Security Service Selection for Social P2P Based Sensor Networks.
Proceedings of the 2015 IEEE Global Communications Conference, 2015


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