The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking
[Under Review] Yuying Li*, Zeyan Liu, Junyi Zhao*, Liangqin Ren*, Fengjun Li, Jiebo Luo, Bo Luo.
Publications
More details can be found here at Google Scholar. (* students mentored by me.)
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.