SwiftIDS: Real-time intrusion detection system based on LightGBM and parallel intrusion detection mechanism. - Dongzi Jin; Yiqin Lu; Jiancheng Qin; Zhe Cheng 002; Zhongshu Mao (Comput. Secur., 2020)

Boosting adversarial attacks with future momentum and future transformation. - Zhongshu Mao; Yiqin Lu; Zhe Cheng 002; Xiong Shen; Yang Zhang 126; Jiancheng Qin (Comput. Secur., 2023)

Enhancing transferability of adversarial examples with pixel-level scale variation. - Zhongshu Mao; Yiqin Lu; Zhe Cheng 002; Xiong Shen (Signal Process. Image Commun., 2023)

Reconstructing images with attention generative adversarial network against adversarial attacks. - Xiong Shen; Yiqin Lu; Zhe Cheng 002; Zhongshu Mao; Zhang Yang; Jiancheng Qin (J. Electronic Imaging, 2024)

Towards robust and generalizable adversarial purification for deep image classification under unknown attacks. - Kaiqiong Chen; Yiqin Lu; Zhongshu Mao; Jiarui Chen; Zhuoxing Chen; Jiancheng Qin (Expert Syst. Appl., 2025)

Exploring transferable adversarial attacks for Deep Learning-based Network Intrusion Detection. - Zhongshu Mao; Yiqin Lu; Zhe Cheng; Kaiqiong Chen (J. Netw. Comput. Appl., 2025)