| On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing Z Liu, Z Yao, F Li, B Luo arXiv preprint arXiv:2306.05524, 2023 | 19* | 2023 |
| LoneNeuron: a Highly-Effective Feature-Domain Neural Trojan Using Invisible and Polymorphic Watermarks Z Liu, F Li, Z Li, B Luo Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022 | 8 | 2022 |
| Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems Z Liu, F Li, J Lin, Z Li, B Luo European Symposium on Research in Computer Security, 343-363, 2022 | 1 | 2022 |
| The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking Y Li, Z Liu, J Zhao, L Ren, F Li, J Luo, B Luo arXiv preprint arXiv:2404.14581, 2024 | | 2024 |
| PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption L Ren, Z Liu, F Li, K Liang, Z Li, B Luo Proceedings on Privacy Enhancing Technologies 3, 1-18, 2024 | | 2024 |
| Certificate Transparency Revisited: The Public Inspections on Third-party Monitors A Sun, J Lin, W Wang, Z Liu, B Li, S Wen, F Li, Qiongxiao Wang Network and Distributed System Security Symposium (NDSS) 2024, 2024 | | 2024 |
Fengjun LiUniversity of KansasVerified email at ku.edu
