FedXGBoost: Privacy-Preserving XGBoost for Federated Learning. - Nhan Khanh Le; Yang Liu 125; Quang Minh Nguyen; Qingchen Liu; Fangzhou Liu; Quanwei Cai 003; Sandra Hirche (CoRR, 2021)

An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference. - Yu Lin; Qizhi Zhang; Quanwei Cai 003; Jue Hong; Wu Ye; Huiqi Liu; Bing Duan (EMNLP, 2024)

ObfusLM: Privacy-preserving Language Model Service against Embedding Inversion Attacks. - Yu Lin; Ruining Yang; Yunlong Mao; Qizhi Zhang; Jue Hong; Quanwei Cai 003; Ye Wu; Huiqi Liu; Zhiyu Chen; Bing Duan; Sheng Zhong 002 (ACL (1), 2025)

Toward Efficient and Secure Collaborative SQL Analyses of Billion-Scale Datasets. - Kang Liu; Qizhi Zhang; Yuan Zhang 004; Yu Lin; Quanwei Cai 003; Jue Hong; Ye Wu; Sheng Zhong 002 (IEEE Trans. Inf. Forensics Secur., 2025)