Jianhua Wang

According to our database, Jianhua Wang authored at least 16 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Jianhua Wang, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Lin Li, Yingying Yao

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

2024

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

Yanwei Gong, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Jianhua Wang, Haoran Zhu

Cybersecur., December, 2024

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

Jianhua Wang, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Zhi Chen, Junchao Fan

IEEE Internet Things J., May, 2024

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

Yanling Wang, Xiaolin Chang, Haoran Zhu, Jianhua Wang, Yanwei Gong, Lin Li

IEEE Trans. Computers, April, 2024

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

Jianhua Wang, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Yixiang Wang

IEEE Internet Things J., January, 2024

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

Jianhua Wang, Xuyang Lei, Min Liang, Jelena V. Misic, Vojislav B. Misic, Xiaolin Chang

Proceedings of the IEEE International Conference on Communications, 2024

2023

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

Wen Wang, Jianhua Wang, Xiaofeng Peng, Ye Yang, Chun Xiao, Shuai Yang, Mingcai Wang, Lingfei Wang, Lin Li, Xiaolin Chang

Cybersecur., December, 2023

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

Jianhua Wang, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Zhi Chen, Junchao Fan

CoRR, 2023

Towards Runtime Customizable Trusted Execution Environment on FPGA-SoC.

Yanling Wang, Xiaolin Chang, Haoran Zhu, Jianhua Wang, Yanwei Gong, Lin Li

CoRR, 2023

2022

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

Yixiang Wang, Jiqiang Liu, Xiaolin Chang, Jianhua Wang, Ricardo J. Rodríguez

J. Inf. Secur. Appl., 2022

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

Yixiang Wang, Jiqiang Liu, Xiaolin Chang, Ricardo J. Rodríguez, Jianhua Wang

Inf. Sci., 2022

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

Jianhua Wang, Xiaolin Chang, Ricardo J. Rodríguez, Yixiang Wang

Proceedings of the IEEE Symposium on Computers and Communications, 2022

2021

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

Jianhua Wang, Xiaolin Chang, Yixiang Wang, Ricardo J. Rodríguez, Jianan Zhang

Cybersecur., 2021

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

Yingying Yao, Xiaolin Chang, Jianhua Wang, Jelena V. Misic, Vojislav B. Misic, Hong Wang

Ad Hoc Networks, 2021

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

Yingying Yao, Zhendong Zhao, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Jianhua Wang

Proceedings of the ICC 2021, 2021

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

Jianhua Wang, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Yixiang Wang, Jianan Zhang

Proceedings of the IEEE Global Communications Conference, 2021