Privacy-Preserving and Robust Data Analytics under Distributed Settings. - Gu, Xiaolan (2024)

DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum. - Gu, Xiaolan; Li, Ming; Xiong, Li (CoRR, 2023)

PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy. - Gu, Xiaolan; Li, Ming; Xiong, Li (CoRR, 2021)

Sparse canonical correlation analysis algorithm with alternating direction method of multipliers. - Gu, Xiaolan; Wang, Qiusheng (Commun. Stat. Simul. Comput., 2020)

Providing Input-Discriminative Protection for Local Differential Privacy. - Gu, Xiaolan; Li, Ming; Xiong, Li; Cao, Yang (2020)

PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility. - Gu, Xiaolan; Li, Ming; Cheng, Yueqiang; Xiong, Li; Cao, Yang (2020)

Supporting Both Range Queries and Frequency Estimation with Local Differential Privacy. - Gu, Xiaolan; Li, Ming; Cao, Yang; Xiong, Li (2019)

Providing Input-Discriminative Protection for Local Differential Privacy. - Gu, Xiaolan; Li, Ming; Xiong, Li; Cao, Yang (CoRR, 2019)

PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility. - Gu, Xiaolan; Li, Ming; Cheng, Yueqiang; Xiong, Li; Cao, Yang (CoRR, 2019)

Digital Multiple Notch Filter Design with Nelder-Mead Simplex Method. - Wang, Qiusheng; Gu, Xiaolan; Liu, Yingyi; Yuan, Haiwen (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)