Recode-Decode-and-Compare: An Efficient Verification Scheme for Coded Edge Computing Against Collusion Attack. - Zhaobo Lu; Jin Wang 009; Jingya Zhou; Jianping Wang 001; Kejie Lu (ICA3PP (1), 2021)

Linear Coded Federated Learning. - Yingyao Yang; Jin Wang 009; Kejie Lu; Jianping Wang 001; Zhaobo Lu (ICA3PP (1), 2021)

FP2-MIA: A Membership Inference Attack Free of Posterior Probability in Machine Unlearning. - Zhaobo Lu; Yilei Wang; Qingzhe Lv; Minghao Zhao 001; Tiancai Liang (ProvSec, 2022)

Label-only membership inference attacks on machine unlearning without dependence of posteriors. - Zhaobo Lu; Hai Liang; Minghao Zhao 001; Qingzhe Lv; Tiancai Liang; Yilei Wang (Int. J. Intell. Syst., 2022)

Decode-and-Compare: An Efficient Verification Scheme for Coded Distributed Edge Computing. - Jin Wang 009; Zhaobo Lu; Mingjia Fu; Jianping Wang 001; Kejie Lu; Admela Jukan (IEEE Trans. Cloud Comput., 2023)

Partial Decode and Compare: An Efficient Verification Scheme for Coded Edge Computing. - Jin Wang 009; Wei Jiang; Jingya Zhou; Zhaobo Lu; Kejie Lu; Jianping Wang 001 (IEEE Trans. Cloud Comput., 2024)

FeaUn: Feature unlearning in vertical federated learning for IIoT against feature inference attacks. - Zhaobo Lu; Xu Zhang; Tao Li; Yilei Wang; Guangshun Li; Zhiquan Liu (Neurocomputing, 2025)