Lu Huang

According to our database, Lu Huang authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

2024

Strengthening LLM ecosystem security: Preventing mobile malware from manipulating LLM-based applications.

Lu Huang, Jingfeng Xue, Yong Wang, Junbao Chen, Tianwei Lei

Inf. Sci., 2024

Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift.

Junbao Chen, Jingfeng Xue, Yong Wang, Zhenyan Liu, Lu Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

WHGDroid: Effective android malware detection based on weighted heterogeneous graph.

Lu Huang, Jingfeng Xue, Yong Wang, Zhenyan Liu, Junbao Chen, Zixiao Kong

J. Inf. Secur. Appl., September, 2023

A novel anomaly detection approach based on ensemble semi-supervised active learning (ADESSA).

Zequn Niu, Wenjie Guo, Jingfeng Xue, Yong Wang, Zixiao Kong, Lu Huang

Comput. Secur., June, 2023

Privacy-Preserving and Traceable Federated Learning for data sharing in industrial IoT applications.

Junbao Chen, Jingfeng Xue, Yong Wang, Lu Huang, Thar Baker, Zhixiong Zhou

Expert Syst. Appl., 2023

2021

A Survey on Adversarial Attack in the Age of Artificial Intelligence.

Zixiao Kong, Jingfeng Xue, Yong Wang, Lu Huang, Zequn Niu, Feng Li

Wirel. Commun. Mob. Comput., 2021

2020

Detection of Malicious Domains in APT via Mining Massive DNS Logs.

Lu Huang, Jingfeng Xue, Weijie Han, Zixiao Kong, Zequn Niu

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

2019

MalDAE: Detecting and explaining malware based on correlation and fusion of static and dynamic characteristics.

Weijie Han, Jingfeng Xue, Yong Wang, Lu Huang, Zixiao Kong, Limin Mao

Comput. Secur., 2019