Dealer: An End-to-End Model Marketplace with Differential Privacy. - Jinfei Liu; Jian Lou 001; Junxu Liu; Li Xiong 001; Jian Pei 001; Jimeng Sun 001 (Proc. VLDB Endow., 2021)

Projected Federated Averaging with Heterogeneous Differential Privacy. - Junxu Liu; Jian Lou 001; Li Xiong 001; Jinfei Liu; Xiaofeng Meng 001 (Proc. VLDB Endow., 2021)

Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. - Jinfei Liu; Qiongqiong Lin; Jiayao Zhang 006; Kui Ren 001; Jian Lou 001; Junxu Liu; Li Xiong 001; Jian Pei 001; Jimeng Sun 001 (Proc. VLDB Endow., 2021)

Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. - Junxu Liu; Jian Lou 001; Li Xiong 001; Xiaofeng Meng 001 (CIKM, 2023)

MUter: Machine Unlearning on Adversarially Trained Models. - Junxu Liu; Mingsheng Xue; Jian Lou 001; Xiaoyu Zhang 010; Li Xiong 001; Zhan Qin (ICCV, 2023)

Cross-silo Federated Learning with Record-level Personalized Differential Privacy. - Junxu Liu; Jian Lou 001; Li Xiong 001; Jinfei Liu; Xiaofeng Meng 001 (CCS, 2024)

Cross-silo Federated Learning with Record-level Personalized Differential Privacy. - Junxu Liu; Jian Lou 001; Li Xiong 001; Jinfei Liu; Xiaofeng Meng 001 (Zenodo, 2024)