Dynamic Momentum for Deep Learning with Differential Privacy. - Guanbiao Lin; Hu Li; Yingying Zhang; Shiyu Peng; Yufeng Wang; Zhenxin Zhang; Jin Li (ML4CS (2), 2022)

Squeeze-Loss: A Utility-Free Defense Against Membership Inference Attacks. - Yingying Zhang; Hongyang Yan; Guanbiao Lin; Shiyu Peng; Zhenxin Zhang; Yufeng Wang (SocialSec, 2022)

Understanding adaptive gradient clipping in DP-SGD, empirically. - Guanbiao Lin; Hongyang Yan; Guang Kou; Teng Huang 001; Shiyu Peng; Yingying Zhang; Changyu Dong (Int. J. Intell. Syst., 2022)

KD-GAN: An effective membership inference attacks defence framework. - Zhenxin Zhang; Guanbiao Lin; Lishan Ke; Shiyu Peng; Li Hu; Hongyang Yan (Int. J. Intell. Syst., 2022)

Defending Against Membership Inference Attacks With High Utility by GAN. - Li Hu; Jin Li 002; Guanbiao Lin; Shiyu Peng; Zhenxin Zhang; Yingying Zhang; Changyu Dong (IEEE Trans. Dependable Secur. Comput., 2023)

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation. - Ying Chen; Jiajing Chen; Yijie Weng; ChiaHua Chang; Dezhi Yu; Guanbiao Lin (CoRR, 2025)