Muhammad Luqman Naseem

According to our database, Muhammad Luqman Naseem authored at least 7 papers between 2022 and 2026.

Collaborative distances:

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

2026

Taking away training data by confidences.

Muhammad Luqman Naseem, Chongkai Li, Bang Zhang, Wenjian Luo

Appl. Soft Comput., 2026

2025

NID: A privacy-preserving operator based on Neural Information Diffusion.

Muhammad Luqman Naseem, Zipeng Ye, Qi Zhou, Wenjian Luo

J. Inf. Secur. Appl., 2025

Showing Many Labels in Multi-label Classification Models: An Empirical Study of Adversarial Examples.

Yujiang Liu, Wenjian Luo, Zhijian Chen, Muhammad Luqman Naseem

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Trans-IFFT-FGSM: a novel fast gradient sign method for adversarial attacks.

Muhammad Luqman Naseem

Multim. Tools Appl., September, 2024

C2FMI: Corse-to-Fine Black-Box Model Inversion Attack.

Zipeng Ye, Wenjian Luo, Muhammad Luqman Naseem, Xiangkai Yang, Yuhui Shi, Yan Jia

IEEE Trans. Dependable Secur. Comput., 2024

Comprehensive comparisons of gradient-based multi-label adversarial attacks.

Zhijian Chen, Wenjian Luo, Muhammad Luqman Naseem, Linghao Kong, Xiangkai Yang

Complex Intell. Syst., 2024

2022

How deep learning is empowering semantic segmentation.

Uroosa Sehar, Muhammad Luqman Naseem

Multim. Tools Appl., 2022