Towards Lightweight and Efficient Distributed Intrusion Detection Framework. - Shuai Yuan 009; Hongwei Li 001; Rui Zhang 086; Meng Hao 001; Yiran Li; Rongxing Lu (GLOBECOM, 2021)

One radish, One hole: Specific adversarial training for enhancing neural network's robustness. - Yun Zhang; Hongwei Li 001; Guowen Xu; Shuai Yuan 009; Xiaoming Huang (Peer-to-Peer Netw. Appl., 2021)

CryptoFE: Practical and Privacy-Preserving Federated Learning via Functional Encryption. - Xinyuan Qian 002; Hongwei Li 001; Meng Hao 001; Shuai Yuan 009; Xilin Zhang; Song Guo 001 (GLOBECOM, 2022)

Toward Efficient and End-to-End Privacy-Preserving Distributed Gradient Boosting Decision Trees. - Shuai Yuan 009; Hongwei Li 001; Xinyuan Qian 002; Meng Hao 001; Yixiao Zhai; Xiaolong Cui (ICC, 2023)

ITPatch: An Invisible and Triggered Physical Adversarial Patch against Traffic Sign Recognition. - Shuai Yuan 009; Hongwei Li 001; Xingshuo Han; Guowen Xu; Wenbo Jiang 001; Tao Ni 003; Qingchuan Zhao; Yuguang Fang (CoRR, 2024)

OnePath: Efficient and Privacy-Preserving Decision Tree Inference in the Cloud. - Shuai Yuan 009; Hongwei Li 001; Xinyuan Qian 002; Wenbo Jiang 001; Guowen Xu (CoRR, 2024)

Efficient and Privacy-Preserving Outsourcing of Gradient Boosting Decision Tree Inference. - Shuai Yuan 009; Hongwei Li 001; Xinyuan Qian 002; Meng Hao 001; Yixiao Zhai; Guowen Xu (IEEE Trans. Serv. Comput., 2024)

Lightweight distributed deep learning on compressive measurements for internet of things. - Guiqiang Hu; Yong Hu; Tao Wu; Yushu Zhang; Shuai Yuan 009 (Eng. Appl. Artif. Intell., 2025)

FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition. - Shuai Yuan 009; Guowen Xu; Hongwei Li 001; Rui Zhang 003; Xinyuan Qian 002; Wenbo Jiang 001; Hangcheng Cao; Qingchuan Zhao (CoRR, 2025)