An Empirical Study on Ethereum Private Transactions and the Security Implications. - Xingyu Lyu; Mengya Zhang; Xiaokuan Zhang; Jianyu Niu; Yinqian Zhang; Zhiqiang Lin 001 (CoRR, 2022)

Nocturnal Blood Pressure Estimation from Sleep Plethysmography Using Machine Learning. - Gizem Yilmaz; Xingyu Lyu; Ju Lynn Ong; Lieng Hsi Ling; Thomas Penzel; B. T. Thomas Yeo; Michael W. L. Chee (Sensors, 2023)

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 001 (ACSAC, 2024)

SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM. - Xingyu Lyu; Qianqian Xu; Zhiyong Yang 001; Shaojie Lyu; Qingming Huang (AAAI, 2025)

Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection. - Shixiong Li; Xingyu Lyu; Ning Wang; Tao Li; Danjue Chen; Yimin Chen (PAKDD (6), 2025)

Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks. - Xingyu Lyu; Ning Wang; Yang Xiao; Shixiong Li; Tao Li; Danjue Chen; Yimin Chen (CoRR, 2025)

Demystifying Private Transactions and Their Impact in PoW and PoS Ethereum. - Xingyu Lyu; Mengya Zhang; Xiaokuan Zhang; Jianyu Niu; Yinqian Zhang; Zhiqiang Lin 001 (CoRR, 2025)

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 (CoRR, 2025)