Gaolei Li
Orcid: 0000-0003-3913-5001
According to our database1,
Gaolei Li
authored at least 105 papers
between 2015 and 2024.
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Bibliography
2024
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
Crowdsourcing Malware Family Annotation: Joint Class-Determined Tag Extraction and Weakly-Tagged Sample Inference.
IEEE Trans. Netw. Serv. Manag., August, 2024
IEEE Trans. Knowl. Data Eng., June, 2024
Joint Top-K Sparsification and Shuffle Model for Communication-Privacy-Accuracy Tradeoffs in Federated-Learning-Based IoV.
IEEE Internet Things J., June, 2024
Exploring Semantic Redundancy using Backdoor Triggers: A Complementary Insight into the Challenges Facing DNN-based Software Vulnerability Detection.
ACM Trans. Softw. Eng. Methodol., May, 2024
Privacy-Preserving Few-Shot Traffic Detection Against Advanced Persistent Threats via Federated Meta Learning.
IEEE Trans. Netw. Sci. Eng., 2024
Protecting Intellectual Property With Reliable Availability of Learning Models in AI-Based Cybersecurity Services.
IEEE Trans. Dependable Secur. Comput., 2024
Generative AI for Software Security Analysis: Fundamentals, Applications, and Challenges.
IEEE Softw., 2024
SupRTE: Suppressing Backdoor Injection in Federated Learning via Robust Trust Evaluation.
IEEE Intell. Syst., 2024
CoRR, 2024
Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions.
CoRR, 2024
Diffusion-based Reinforcement Learning for Dynamic UAV-assisted Vehicle Twins Migration in Vehicular Metaverses.
CoRR, 2024
Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices.
CoRR, 2024
BenchMFC: A benchmark dataset for trustworthy malware family classification under concept drift.
Comput. Secur., 2024
Hysteresis behavior and generalized Hopf bifurcation in a three-degrees-of-freedom aeroelastic system with concentrated nonlinearities.
Commun. Nonlinear Sci. Numer. Simul., 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
Covert and Reliable Semantic Communication Against Cross-Layer Privacy Inference over Wireless Edge 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
ActiveDaemon: Unconscious DNN Dormancy and Waking Up via User-specific Invisible Token.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024
ZeroTKS: Zero-trust Knowledge Synchronization via Federated Fine-tuning for Secure Semantic Communications.
Proceedings of the Twenty-fifth International Symposium on Theory, 2024
OSNeRF: On-demand Semantic Neural Radiance Fields for Fast and Robust 3D Object Reconstruction.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024
Proceedings of the IEEE INFOCOM 2024, 2024
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Regulating Covert Communication Capacity with Full-Duplex Receiver Against Location-Uncertain Eavesdropper.
Proceedings of the International Conference on Computing, Networking and Communications, 2024
On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks.
Proceedings of the IEEE International Conference on Communications, 2024
Scale Wisely, Secure Wholly: P2P Swarm Learning Over Consortium Blockchain in Edge Networks.
Proceedings of the IEEE International Conference on Communications, 2024
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
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 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
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
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
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
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
Proceedings of the Digital Forensics and Cyber Crime - 14th EAI 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
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023
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
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
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
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
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
IEEE Trans. Emerg. Top. Comput. Intell., 2020
Commun. Nonlinear Sci. Numer. Simul., 2020
2019
IEEE Netw., 2019
CDLB: a cross-domain load balancing mechanism for software defined networks in cloud data centre.
Int. J. Comput. Sci. Eng., 2019
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
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
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
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