Dynamic Resampling Based Boosting Random Forest for Network Anomaly Traffic Detection. - Huajuan Ren; Ruimin Wang; Weiyu Dong; Junhao Li; Yonghe Tang (IEA/AIE (2), 2023)

ALScA: A Framework for Using Auxiliary Learning Side-Channel Attacks to Model PUFs. - Wei Liu 164; Youwei Zhang; Yonghe Tang; Huanwei Wang; Qiang Wei (IEEE Trans. Inf. Forensics Secur., 2023)

BHMDC: A byte and hex n-gram based malware detection and classification method. - Yonghe Tang; Xuyan Qi; Jing Jing 004; Chunling Liu; Weiyu Dong (Comput. Secur., 2023)

DUEN: Dynamic ensemble handling class imbalance in network intrusion detection. - Huajuan Ren; Yonghe Tang; Weiyu Dong; Shuai Ren; Liehui Jiang (Expert Syst. Appl., 2023)

ADHS-EL: Dynamic ensemble learning with adversarial augmentation for accurate and robust network intrusion detection. - Huajuan Ren; Yonghe Tang; Shuai Ren; Ruimin Wang; Weiyu Dong (J. King Saud Univ. Comput. Inf. Sci., 2025)

Deep neural network modeling attacks on arbiter-PUF-based designs. - Huanwei Wang; Weining Hao; Yonghe Tang; Bing Zhu; Weiyu Dong; Wei Liu (Cybersecur., 2025)