Jianhua Wang

Orcid: 0000-0002-2773-3429

Affiliations:

Beijing Jiaotong University, Beijing, China

According to our database¹, Jianhua Wang authored at least 19 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

SMTFL: Secure Model Training to Untrusted Participants in Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., July, 2026

Sparse Threats, Focused Defense: Criticality-Aware Robust Reinforcement Learning for Safe Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, January, 2026

2025

CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., February, 2025

2024

Practical solutions in fully homomorphic encryption: a survey analyzing existing acceleration methods.

[BibT_eX]

[DOI]

Cybersecur., December, 2024

PA-iMFL: Communication-Efficient Privacy Amplification Method Against Data Reconstruction Attack in Improved Multilayer Federated Learning.

[BibT_eX]

[DOI]

IEEE Internet Things J., May, 2024

Towards Secure Runtime Customizable Trusted Execution Environment on FPGA-SoC.

[BibT_eX]

[DOI]

IEEE Trans. Computers, April, 2024

PASS: A Parameter Audit-Based Secure and Fair Federated Learning Scheme Against Free-Rider Attack.

[BibT_eX]

[DOI]

IEEE Internet Things J., January, 2024

Towards Well-trained Model Robustness in Federated Learning: An Adversarial- Example-Generation- Efficiency Perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

2023

Exploring best-matched embedding model and classifier for charging-pile fault diagnosis.

[BibT_eX]

[DOI]

Cybersecur., December, 2023

PA-iMFL: Communication-Efficient Privacy Amplification Method against Data Reconstruction Attack in Improved Multi-Layer Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Runtime Customizable Trusted Execution Environment on FPGA-SoC.

[BibT_eX]

[DOI]

CoRR, 2023

2022

AB-FGSM: AdaBelief optimizer and FGSM-based approach to generate adversarial examples.

[BibT_eX]

[DOI]

J. Inf. Secur. Appl., 2022

DI-AA: An interpretable white-box attack for fooling deep neural networks.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Assessing Anonymous and Selfish Free-rider Attacks in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computers and Communications, 2022

2021

LSGAN-AT: enhancing malware detector robustness against adversarial examples.

[BibT_eX]

[DOI]

Cybersecur., 2021

LPC: A lightweight pseudonym changing scheme with robust forward and backward secrecy for V2X.

[BibT_eX]

[DOI]

Ad Hoc Networks, 2021

The Iot Malware Classification Method Based On Visual Local Features.

[BibT_eX]

[DOI]

Proceedings of the ICNCC 2021: The 10th International Conference on Networks, Communication and Computing, Beijing, China, December 10, 2021

A Novel Privacy-Preserving Neural Network Computing Approach for E-Health Information System.

[BibT_eX]

[DOI]

Proceedings of the ICC 2021, 2021

Mal-LSGAN: An Effective Adversarial Malware Example Generation Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

Jianhua Wang

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