Generate qualified adversarial attacks and foster enhanced models based on generative adversarial networks. - Junpeng He; Lei Luo 004; Kun Xiao; Xiyu Fang; Yun Li (Intell. Data Anal., 2022)

A Novel Steganography Method for Character-Level Text Image Based on Adversarial Attacks. - Kangyi Ding; Teng Hu; Weina Niu; Xiaolei Liu 001; Junpeng He; Mingyong Yin; Xiaosong Zhang 001 (Sensors, 2022)

DEML: Data-Enhanced Meta-Learning Method for IoT APT Traffic Detection. - Jia Hu; Weina Niu; Qingjun Yuan; Lingfeng Yao; Junpeng He; Yanfeng Zhang; Xiaosong Zhang 001 (ICDF2C (1), 2023)

Gedss: A Generic Framework to Enhance Model Robustness for Intrusion Detection on Noisy Data. - Lingfeng Yao; Anran Hou; Weina Niu; Qingjun Yuan; Junpeng He; Yanfeng Zhang (CSCWD, 2024)

Unsupervised Industrial Internet Time Series Anomaly Detection Based on Reinforcement Learning. - Yaqing Huang; Zhe Dong; Junpeng He (GAIIS, 2024)

Local Augmentation with Functionality-Preservation for Semi-Supervised Graph Intrusion Detection. - Junpeng He; Hanyue Kong; Shihe Zhang; Xiong Li 002; Weina Niu; Xiaosong Zhang 001; Fagen Li (ICC, 2024)

Model-agnostic generation-enhanced technology for few-shot intrusion detection. - Junpeng He; Lingfeng Yao; Xiong Li 002; Muhammad Khurram Khan; Weina Niu; Xiaosong Zhang 001; Fagen Li (Appl. Intell., 2024)

A Synthetic Data-Assisted Satellite Terrestrial Integrated Network Intrusion Detection Framework. - Junpeng He; Xiong Li 002; Xiaosong Zhang 001; Weina Niu; Fagen Li (IEEE Trans. Inf. Forensics Secur., 2025)