The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking
[ESORICS 2024] Yuying Li, Zeyan Liu, Junyi Zhao, Liangqin Ren, Fengjun Li, Jiebo Luo, Bo Luo.
Publications
* More details can be found at Google Scholar. ** Students mentored by me.
The Invisible Polyjuice Potion: an Effective Physical Adversarial Attack against Face Recognition
[CCS 2024] Ye Wang, Zeyan Liu, Bo Luo, Rongqing Hui, Fengjun Li.
On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing
[CCS 2024] Zeyan Liu, Zijun Yao, Fengjun Li, Bo Luo.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption
[PETS 2024] Liangqin Ren, Zeyan Liu, Fengjun Li, Kaitai Liang, Zhu Li, Bo Luo
Certificate Transparency Revisited: The Public Inspections on Third-party Monitors
[NDSS 2024] Aozhuo Sun, Jingqiang Lin, Wei Wang, Zeyan Liu, Bingyu Li, Shushang Wen, Fengjun Li, Qiongxiao Wang
LoneNeuron: a Highly-effective Feature-domain Neural Trojan using Invisible and Polymorphic Watermarks
[CCS 2022] Zeyan Liu, Fengjun Li, Zhu Li, Bo Luo.
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems
[ESORICS 2022] Zeyan Liu, Fengjun Li, Jingqiang Lin, Zhu Li, Bo Luo.