| 2026 | DSN | LymphNode: A Plug-and-Play Access Control Method for Deep Neural Networks. | Hanyu Pei, Shang Liu, Zeyan Liu |
| 2025 | SecureComm | Two Birds with One Stone: Multi-task Detection and Attribution of LLM-Generated Text. | Zixin Rao, Youssef Mohamed, Shang Liu, Zeyan Liu |
| 2024 | CCS | On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing. | Zeyan Liu, Zijun Yao, Fengjun Li, Bo Luo |
| 2024 | CCS | The Invisible Polyjuice Potion: an Effective Physical Adversarial Attack against Face Recognition. | Ye Wang, Zeyan Liu, Bo Luo, Rongqing Hui, Fengjun Li |
| 2024 | ESORICS | The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking. | Yuying Li, Zeyan Liu, Junyi Zhao, Liangqin Ren, Fengjun Li, Jiebo Luo, Bo Luo |
| 2024 | NDSS | Certificate Transparency Revisited: The Public Inspections on Third-party Monitors. | Aozhuo Sun, Jingqiang Lin, Wei Wang, Zeyan Liu, Bingyu Li, Shushang Wen, Qiongxiao Wang, Fengjun Li |
| 2022 | CCS | LoneNeuron: A Highly-Effective Feature-Domain Neural Trojan Using Invisible and Polymorphic Watermarks. | Zeyan Liu, Fengjun Li, Zhu Li, Bo Luo |
| 2022 | ESORICS | Hide and Seek: On the Stealthiness of Attacks Against Deep Learning Systems. | Zeyan Liu, Fengjun Li, Jingqiang Lin, Zhu Li, Bo Luo |