Mal-LSGAN: An Effective Adversarial Malware Example Generation Model. - Jianhua Wang 004; Xiaolin Chang; Jelena V. Misic; Vojislav B. Misic; Yixiang Wang; Jianan Zhang (GLOBECOM, 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 004 (ICC, 2021)

LPC: A lightweight pseudonym changing scheme with robust forward and backward secrecy for V2X. - Yingying Yao; Xiaolin Chang; Jianhua Wang 004; Jelena V. Misic; Vojislav B. Misic; Hong Wang 027 (Ad Hoc Networks, 2021)

LSGAN-AT: enhancing malware detector robustness against adversarial examples. - Jianhua Wang 004; Xiaolin Chang; Yixiang Wang; Ricardo J. Rodríguez; Jianan Zhang (Cybersecur., 2021)

Assessing Anonymous and Selfish Free-rider Attacks in Federated Learning. - Jianhua Wang 004; Xiaolin Chang; Ricardo J. Rodríguez; Yixiang Wang (ISCC, 2022)

DI-AA: An interpretable white-box attack for fooling deep neural networks. - Yixiang Wang; Jiqiang Liu; Xiaolin Chang; Ricardo J. Rodríguez; Jianhua Wang 004 (Inf. Sci., 2022)

AB-FGSM: AdaBelief optimizer and FGSM-based approach to generate adversarial examples. - Yixiang Wang; Jiqiang Liu; Xiaolin Chang; Jianhua Wang 004; Ricardo J. Rodríguez (J. Inf. Secur. Appl., 2022)

Towards Runtime Customizable Trusted Execution Environment on FPGA-SoC. - Yanling Wang; Xiaolin Chang; Haoran Zhu; Jianhua Wang 004; Yanwei Gong; Lin Li 041 (CoRR, 2023)

PA-iMFL: Communication-Efficient Privacy Amplification Method against Data Reconstruction Attack in Improved Multi-Layer Federated Learning. - Jianhua Wang 004; Xiaolin Chang; Jelena V. Misic; Vojislav B. Misic; Zhi Chen 013; Junchao Fan (CoRR, 2023)

Exploring best-matched embedding model and classifier for charging-pile fault diagnosis. - Wen Wang; Jianhua Wang 004; Xiaofeng Peng; Ye Yang; Chun Xiao; Shuai Yang; Mingcai Wang; Lingfei Wang; Lin Li 041; Xiaolin Chang (Cybersecur., 2023)

Towards Well-trained Model Robustness in Federated Learning: An Adversarial- Example-Generation- Efficiency Perspective. - Jianhua Wang 004; Xuyang Lei; Min Liang; Jelena V. Misic; Vojislav B. Misic; Xiaolin Chang (ICC, 2024)

PASS: A Parameter Audit-Based Secure and Fair Federated Learning Scheme Against Free-Rider Attack. - Jianhua Wang 004; Xiaolin Chang; Jelena V. Misic; Vojislav B. Misic; Yixiang Wang (IEEE Internet Things J., 2024)

Towards Secure Runtime Customizable Trusted Execution Environment on FPGA-SoC. - Yanling Wang; Xiaolin Chang; Haoran Zhu; Jianhua Wang 004; Yanwei Gong; Lin Li 041 (IEEE Trans. Computers, 2024)

PA-iMFL: Communication-Efficient Privacy Amplification Method Against Data Reconstruction Attack in Improved Multilayer Federated Learning. - Jianhua Wang 004; Xiaolin Chang; Jelena V. Misic; Vojislav B. Misic; Zhi Chen 013; Junchao Fan (IEEE Internet Things J., 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 004; Haoran Zhu (Cybersecur., 2024)

CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning. - Jianhua Wang 004; Xiaolin Chang; Jelena V. Misic; Vojislav B. Misic; Lin Li 041; Yingying Yao (IEEE Trans. Netw. Serv. Manag., 2025)