VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning. - Xiaojie Guo 004; Zheli Liu; Jin Li 002; Jiqiang Gao; Boyu Hou; Changyu Dong; Thar Baker (IEEE Trans. Inf. Forensics Secur., 2021)

Secure Partial Aggregation: Making Federated Learning More Robust for Industry 4.0 Applications. - Jiqiang Gao; Baolei Zhang; Xiaojie Guo 004; Thar Baker; Min Li; Zheli Liu (IEEE Trans. Ind. Informatics, 2022)

Mitigating the Backdoor Attack by Federated Filters for Industrial IoT Applications. - Boyu Hou; Jiqiang Gao; Xiaojie Guo 004; Thar Baker; Ying Zhang 015; Yanlong Wen; Zheli Liu (IEEE Trans. Ind. Informatics, 2022)

Secure Aggregation is Insecure: Category Inference Attack on Federated Learning. - Jiqiang Gao; Boyu Hou; Xiaojie Guo 004; Zheli Liu; Ying Zhang 015; Kai Chen 012; Jin Li 002 (IEEE Trans. Dependable Secur. Comput., 2023)