| 2026 | PAKDD | EarlyShield: Early-Stage Screening for Robust Personalized Federated Learning. | Shixiong Li, Xingyu Lyu, Ning Wang, Tao Li, Danjue Chen, Yidan Hu, Yimin Chen |
| 2026 | PAKDD | Two Heads Are Better Than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-Iid Data Against Model Poisoning Attacks. | Xingyu Lyu, Ning Wang, Shixiong Li, Yidan Hu, Yimin Chen |
| 2025 | AAAI | SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM. | Xingyu Lyu, Qianqian Xu, Zhiyong Yang, Shaojie Lyu, Qingming Huang |
| 2025 | ECAI | BoBa: Boosting Backdoor Detection Through Data Distribution Inference in Federated Learning. | Zhengyuan Jiang, Xingyu Lyu, Shanghao Shi, Yang Xiao, Yimin Chen, Y. Thomas Hou, Wenjing Lou, Ning Wang |
| 2025 | PAKDD | Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection. | Shixiong Li, Xingyu Lyu, Ning Wang, Tao Li, Danjue Chen, Yimin Chen |
| 2025 | TrustCom | Buffer is All You Need: Defending Federated Learning against Backdoor Attacks under Non-iids via Buffering. | Xingyu Lyu, Ning Wang, Yang Xiao, Shixiong Li, Tao Li, Danjue Chen, Yimin Chen |
| 2024 | ACSAC | Breaking the Privacy Barrier: On the Feasibility of Reorganization Attacks on Ethereum Private Transactions. | Mengya Zhang, Xingyu Lyu, Jianyu Niu, Xiaokuan Zhang, Yinqian Zhang, Zhiqiang Lin |