| 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 |
| 2025 | NDSS | MTZK: Testing and Exploring Bugs in Zero-Knowledge (ZK) Compilers. | Dongwei Xiao, Zhibo Liu, Yiteng Peng, Shuai Wang |
| 2023 | ACML | Detecting and Repairing Deviated Outputs of Compressed Models. | Yichen Li, Qi Pang, Dongwei Xiao, Zhibo Liu, Shuai Wang |
| 2023 | ICSE | Metamorphic Shader Fusion for Testing Graphics Shader Compilers. | Dongwei Xiao, Zhibo Liu, Shuai Wang |
| 2023 | ISSTA | Exploring Missed Optimizations in WebAssembly Optimizers. | Zhibo Liu, Dongwei Xiao, Zongjie Li, Shuai Wang, Wei Meng |
| 2022 | SIGMETRICS | Metamorphic Testing of Deep Learning Compilers. | Dongwei Xiao, Zhibo Liu, Yuanyuan Yuan, Qi Pang, Shuai Wang |