Lefeng Zhang

Orcid: 0000-0002-7608-7910

According to our database1, Lefeng Zhang authored at least 32 papers between 2011 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation.
IEEE Trans. Big Data, April, 2025

Federated Learning With Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach.
IEEE Trans. Serv. Comput., 2025

Vertical Federated Unlearning via Backdoor Certification.
IEEE Trans. Serv. Comput., 2025

QUEEN: Query Unlearning Against Model Extraction.
IEEE Trans. Inf. Forensics Secur., 2025

QuadrantSearch: A Novel Method for Registering UAV and Backpack LiDAR Point Clouds in Forested Areas.
IEEE Trans. Geosci. Remote. Sens., 2025

FedSweep: Unlearning Backdoors in Federated Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

2024
Machine Unlearning: A Survey.
ACM Comput. Surv., January, 2024

Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage.
CoRR, 2024

Towards Efficient Target-Level Machine Unlearning Based on Essential Graph.
CoRR, 2024

Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs.
CoRR, 2024

Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning.
CoRR, 2024

Language-Based Colorization with Sparse Attention and Multi-scale Cross-Modal Semantic Alignment.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

Towards Information Sharing Beetle Antennae Search Optimization.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

2023
A Game-Theoretic Federated Learning Framework for Data Quality Improvement.
IEEE Trans. Knowl. Data Eng., November, 2023

A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy.
IEEE Trans. Knowl. Data Eng., April, 2023

PriFace: a privacy-preserving face recognition framework under untrusted server.
J. Ambient Intell. Humaniz. Comput., March, 2023

FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks.
IEEE Trans. Inf. Forensics Secur., 2023

A Game-Theoretic Method for Defending Against Advanced Persistent Threats in Cyber Systems.
IEEE Trans. Inf. Forensics Secur., 2023

2022
More than Privacy: Adopting Differential Privacy in Game-theoretic Mechanism Design.
ACM Comput. Surv., 2022

Location privacy preservation through kernel transformation.
Concurr. Comput. Pract. Exp., 2022

Privacy preservation auction in a dynamic social network.
Concurr. Comput. Pract. Exp., 2022

2020
Private collaborative filtering under untrusted recommender server.
Future Gener. Comput. Syst., 2020

2019
A differentially private method for crowdsourcing data submission.
Concurr. Comput. Pract. Exp., 2019

Optimizing rewards allocation for privacy-preserving spatial crowdsourcing.
Comput. Commun., 2019

2018
Integration of Low-Cost GNSS and Monocular Cameras for Simultaneous Localization and Mapping.
Sensors, 2018

Active power and reactive power dispatch of wind farm based on wavelet learning.
Int. J. Mach. Learn. Cybern., 2018

A Differentially Private Method for Crowdsourcing Data Submission.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

2017
Reward-based spatial crowdsourcing with differential privacy preservation.
Enterp. Inf. Syst., 2017

2016
Semantic analysis in location privacy preserving.
Concurr. Comput. Pract. Exp., 2016

2015
Active Power Dispatch Plan among Units in DFIG Based Wind Farm.
Int. J. Comput. Intell. Syst., 2015

The Active Power and Reactive Power Dispatch Plan of DFIG Based Wind Farm Considering Wind Power Curtailment.
Int. J. Comput. Intell. Syst., 2015

2011
Returns Acquiring and HRRP Imaging for Radar Ship Target Recognition.
Proceedings of the Second International Conference on Digital Manufacturing and Automation, 2011


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