Try to Avoid Attacks: A Federated Data Sanitization Defense for Healthcare IoMT Systems. - Chong Chen; Ying Gao 004; Leyu Shi; Siquan Huang (CoRR, 2022)

Multi-metrics adaptively identifies backdoors in Federated learning. - Siquan Huang; Yijiang Li; Chong Chen; Leyu Shi; Ying Gao 004 (ICCV, 2023)

Avoid attacks: A Federated Data Sanitization Defense in IoMT Systems. - Chong Chen; Ying Gao 004; Siquan Huang; Xingfu Yan (INFOCOM Workshops, 2023)

GN: Guided Noise Eliminating Backdoors in Federated Learning. - Siquan Huang; Ying Gao 004; Chong Chen; Leyu Shi (SMC, 2024)

Scope: On Detecting Constrained Backdoor Attacks in Federated Learning. - Siquan Huang; Yijiang Li; Xingfu Yan; Ying Gao 004; Chong Chen; Leyu Shi; Biao Chen; Wing W. Y. Ng (IEEE Trans. Inf. Forensics Secur., 2025)

Differentially Private Federated Clustering Framework in Intelligent Connected Vehicles. - Chong Chen; Siquan Huang; Leyu Shi; Ying Gao 004; Yiqin Lu (IEEE Netw., 2025)