Secret Dispersion: Secure Data Delivery in Cyber Physical System. - Rui Hu 005; Yanmin Gong 001 (CNS, 2018)

DP-ADMM: ADMM-based Distributed Learning with Differential Privacy. - Zonghao Huang; Rui Hu 005; Eric Chan-Tin; Yanmin Gong 001 (CoRR, 2018)

Targeted Poisoning Attacks on Social Recommender Systems. - Rui Hu 005; Yuanxiong Guo; Miao Pan; Yanmin Gong 001 (GLOBECOM, 2019)

Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing. - Zhidong Gao; Rui Hu 005; Yanmin Gong 001 (GLOBECOM, 2020)

Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning. - Rui Hu 005; Yanmin Gong 001 (GLOBECOM, 2020)

Privacy-Preserving Personalized Federated Learning. - Rui Hu 005; Yuanxiong Guo; Hongning Li; Qingqi Pei; Yanmin Gong 001 (ICC, 2020)

Differentially Private Federated Learning for Resource-Constrained Internet of Things. - Rui Hu 005; Yuanxiong Guo; E. Paul Ratazzi; Yanmin Gong 001 (CoRR, 2020)

CPFed: Communication-Efficient and Privacy-Preserving Federated Learning. - Rui Hu 005; Yanmin Gong 001; Yuanxiong Guo (CoRR, 2020)

Sparsified Privacy-Masking for Communication-Efficient and Privacy-Preserving Federated Learning. - Rui Hu 005; Yanmin Gong 001; Yuanxiong Guo (CoRR, 2020)

Personalized Federated Learning With Differential Privacy. - Rui Hu 005; Yuanxiong Guo; Hongning Li; Qingqi Pei; Yanmin Gong 001 (IEEE Internet Things J., 2020)

DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy. - Zonghao Huang; Rui Hu 005; Yuanxiong Guo; Eric Chan-Tin; Yanmin Gong 001 (IEEE Trans. Inf. Forensics Secur., 2020)

Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization. - Rui Hu 005; Yanmin Gong 001; Yuanxiong Guo (IJCAI, 2021)

Concentrated Differentially Private Federated Learning With Performance Analysis. - Rui Hu 005; Yuanxiong Guo; Yanmin Gong 001 (IEEE Open J. Comput. Soc., 2021)

Agent-Level Differentially Private Federated Learning via Compressed Model Perturbation. - Yuanxiong Guo; Rui Hu 005; Yanmin Gong 001 (CNS, 2022)

Energy-Efficient Distributed Machine Learning at Wireless Edge with Device-to-Device Communication. - Rui Hu 005; Yuanxiong Guo; Yanmin Gong 001 (ICC, 2022)

Hybrid Local SGD for Federated Learning with Heterogeneous Communications. - Yuanxiong Guo; Ying Sun; Rui Hu 005; Yanmin Gong 001 (ICLR, 2022)

Federated Learning With Sparsified Model Perturbation: Improving Accuracy Under Client-Level Differential Privacy. - Rui Hu 005; Yuanxiong Guo; Yanmin Gong 001 (IEEE Trans. Mob. Comput., 2024)