GuardHealth: Blockchain empowered secure data management and Graph Convolutional Network enabled anomaly detection in smart healthcare. - Ziyu Wang; Nanqing Luo; Pan Zhou (J. Parallel Distributed Comput., 2020)

DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing. - Wenxiao Wang 002; Tianhao Wang 013; Lun Wang 001; Nanqing Luo; Pan Zhou; Dawn Song; Ruoxi Jia 001 (Proc. Priv. Enhancing Technol., 2021)

An Ethereum-compatible blockchain that explicates and ensures design-level safety properties for smart contracts. - Nikolaj S. Bjørner; Shuo Chen; Yang Chen; Zhongxin Guo; Peng Liu; Nanqing Luo (CoRR, 2023)

Towards Independence Criterion in Machine Unlearning of Features and Labels. - Ling Han; Nanqing Luo; Hao Huang 001; Jing Chen; Mary-Anne Hartley (CoRR, 2024)

Theorem-Carrying-Transaction: Runtime Certification to Ensure Safety for Smart Contract Transactions. - Nikolaj S. Bjørner; Ashley J. Chen; Shuo Chen; Yang Chen; Zhongxin Guo; Tzu-Han Hsu; Peng Liu; Nanqing Luo (CoRR, 2024)

Hide Your Malicious Goal Into Benign Narratives: Jailbreak Large Language Models through Neural Carrier Articles. - Zhilong Wang; Haizhou Wang; Nanqing Luo; Lan Zhang 008; Xiaoyan Sun 003; Yebo Cao; Peng Liu 005 (CoRR, 2024)

Unmasking the Shadows: Pinpoint the Implementations of Anti-Dynamic Analysis Techniques in Malware Using LLM. - Haizhou Wang; Nanqing Luo; Peng Liu (CoRR, 2024)

DESCG: data encoding scheme classification with GNN in binary analysis. - Xushu Dai; Nanqing Luo; Haizhou Wang; Zhilong Wang; Chen Cao; Peng Liu (Autom. Softw. Eng., 2025)