| 2026 | SP | Sok: Evaluating Jailbreak Guardrails for Large Language Models. | Xunguang Wang, Zhenlan Ji, Wenxuan Wang, Zongjie Li, Daoyuan Wu, Shuai Wang |
| 2025 | CCS | The Phantom Menace in Crypto-Based PET-Hardened Deep Learning Models: Invisible Configuration-Induced Attacks. | Yiteng Peng, Dongwei Xiao, Zhibo Liu, Zhenlan Ji, Daoyuan Wu, Shuai Wang, Juergen Rahmel |
| 2025 | ICSE | Testing and Understanding Deviation Behaviors in FHE-Hardened Machine Learning Models. | Yiteng Peng, Daoyuan Wu, Zhibo Liu, Dongwei Xiao, Zhenlan Ji, Juergen Rahmel, Shuai Wang |
| 2024 | ICSE | Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning. | Pingchuan Ma, Zhenlan Ji, Peisen Yao, Shuai Wang, Kui Ren |
| 2023 | ICSE | CC: Causality-Aware Coverage Criterion for Deep Neural Networks. | Zhenlan Ji, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang |
| 2022 | SEKE | Unlearnable Examples: Protecting Open-Source Software from Unauthorized Neural Code Learning. | Zhenlan Ji, Pingchuan Ma, Shuai Wang |
| 2020 | SEKE | An Empirical Study on Issue Knowledge Transfer from Python to R for Machine Learning Software. | Wen-Chin Huang, Zhenlan Ji, Yanhui Li |