Lei Cui

Orcid: 0000-0002-1932-1440

Affiliations:
  • University of Technology Sydney, School of Computer Science, Ultimo, NSW, Australia
  • Taiyuan University of Technology, Department of electronic science and technology, Taiyuan, China (PhD 2019)
  • Deakin University, Melbourne, VIC, Australia


According to our database1, Lei Cui authored at least 34 papers between 2018 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Modeling and Analyzing the Spatial-Temporal Propagation of Malware in Mobile Wearable IoT Networks.
IEEE Internet Things J., January, 2024

The Role of Class Information in Model Inversion Attacks Against Image Deep Learning Classifiers.
IEEE Trans. Dependable Secur. Comput., 2024

Inference Attacks: A Taxonomy, Survey, and Promising Directions.
CoRR, 2024

From Data Integrity to Global ModeI Integrity for Decentralized Federated Learning: A Blockchain-based Approach.
Proceedings of the International Joint Conference on Neural Networks, 2024

Grouped Federated Meta-Learning for Privacy-Preserving Rare Disease Diagnosis.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Security Challenges and Potential Solutions in Aerial-Terrestrial Wireless Networking.
IEEE Internet Things Mag., December, 2023

Learning a dual-branch classifier for class incremental learning.
Appl. Intell., February, 2023

APDP: Attribute-Based Personalized Differential Privacy Data Publishing Scheme for Social Networks.
IEEE Trans. Netw. Sci. Eng., 2023

A Comprehensive Survey on Poisoning Attacks and Countermeasures in Machine Learning.
ACM Comput. Surv., 2023

Personalized Federated Learning for Heterogeneous Residential Load Forecasting.
Big Data Min. Anal., 2023

Security and Privacy in Federated Learning
Springer, ISBN: 978-981-19-8691-8, 2023

2022
An Incremental Learning Method Based on Dynamic Ensemble RVM for Intrusion Detection.
IEEE Trans. Netw. Serv. Manag., 2022

Security and Privacy-Enhanced Federated Learning for Anomaly Detection in IoT Infrastructures.
IEEE Trans. Ind. Informatics, 2022

A Covert Electricity-Theft Cyberattack Against Machine Learning-Based Detection Models.
IEEE Trans. Ind. Informatics, 2022

A Communication-Efficient Federated Learning Scheme for IoT-Based Traffic Forecasting.
IEEE Internet Things J., 2022

A GAN-Based Real-Time Covert Energy Theft Attack Against Data-Driven Detectors.
Proceedings of the Tools for Design, Implementation and Verification of Emerging Information Technologies, 2022

Efficient and Fine-Grained Sharing of Signed Healthcare Data in Smart Healthcare.
Proceedings of the Network and System Security - 16th International Conference, 2022

Personalized Privacy-Preserving Medical Data Sharing for Blockchain-based Smart Healthcare Networks.
Proceedings of the IEEE International Conference on Communications, 2022

GSMI: A Gradient Sign Optimization Based Model Inversion Method.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021
Efficient Virtual Network Embedding of Cloud-Based Data Center Networks into Optical Networks.
IEEE Trans. Parallel Distributed Syst., 2021

Memory Augmented Hierarchical Attention Network for Next Point-of-Interest Recommendation.
IEEE Trans. Comput. Soc. Syst., 2021

GPDP: Game-Enhanced Personalized Differentially Private Smart Community.
Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

Data Privacy Protection based on Feature Dilution in Cloud Services.
Proceedings of the IEEE Global Communications Conference, 2021

Personalized Privacy Protection in Big Data
Springer, ISBN: 978-981-16-3749-0, 2021

2020
Detecting false data attacks using machine learning techniques in smart grid: A survey.
J. Netw. Comput. Appl., 2020

An Inherent Property-Based Rumor Dissemination Model in Online Social Networks.
IEEE Netw. Lett., 2020

Non-Technical Losses Detection in Smart Grids: An Ensemble Data-Driven Approach.
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

2019
Adaptive high-precision superpixel segmentation.
Multim. Tools Appl., 2019

Improving Data Utility Through Game Theory in Personalized Differential Privacy.
J. Comput. Sci. Technol., 2019

Automatic Image Segmentation With Superpixels and Image-Level Labels.
IEEE Access, 2019

2018
Privacy issues in social networks and analysis: a comprehensive survey.
IET Networks, 2018

Security and Privacy in Smart Cities: Challenges and Opportunities.
IEEE Access, 2018

Improving Data Utility through Game Theory in Personalized Differential Privacy.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

A Trust-Grained Personalized Privacy-Preserving Scheme for Big Social Data.
Proceedings of the 2018 IEEE International Conference on Communications, 2018


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