BI-GAN: batch inversion membership inference attack on federated learning. - Hiep Khac Vo; Mingjian Tang 002; James Xi Zheng; Shui Yu 001 (MobiArch, 2022)

CP-FL: Practical Gradient Leakage Defense in Federated Learning with Compressive Privacy. - Weiqi Wang; Shushu Liu; Chenhan Zhang; Mingjian Tang 002; Feng Wu; Shui Yu 001 (GLOBECOM, 2023)

FedMC: Federated Learning with Mode Connectivity Against Distributed Backdoor Attacks. - Weiqi Wang; Chenhan Zhang; Shushu Liu; Mingjian Tang 002; An Liu 002; Shui Yu 001 (ICC, 2023)

RUE: Realising Unlearning from the Perspective of Economics. - Mingjian Tang 002; Weiqi Wang; Chenhan Zhang; Shui Yu 001 (TrustCom, 2023)

OPMUS: A Win-Win Pricing Strategy for Machine Unlearning Service. - Mingjian Tang 002; Weiqi Wang; Shui Yu 001 (ADMA (1), 2024)