I’m currently a senior Ph.D. candidate in the Department of Electrical Engineering and Computer Science at the University of Kansas. I am fortunate to be advised by Prof. Fengjun Li and Prof. Bo Luo. My main research interests are security and privacy issues in machine learning.

Educations

2021.08 - Now, Ph.D. in Computer and Information Sciences, University of Kansas
2017.08 - 2020.06, M.Eng. in Computer Technology, University of Chinese Academy of Sciences
2013.08 - 2017.06, B.Eng. in Network Engineering, Shandong University of Science and Technology

Publications

Yuying Li, Zeyan Liu, Junyi Zhao, Liangqin Ren, Fengjun Li, Jiebo Luo, and Bo Luo. The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking. In European Symposium on Research in Computer Security (ESORICS), 2024.
Liangqin Ren, Zeyan Liu, Fengjun Li, Kaitai Liang, Zhu Li, and Bo Luo. PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption. In the 24th Privacy Enhancing Technologies Symposium (PETS), Bristol, UK, 2024. PDF, GitHub

Spring, 2023 - Spring, 2024: TA for EECS 348 Software Engineering I, taught by Prof. Hossein Saiedian
Fall 2022: TA for EECS 448 Software Engineering I, taught by Prof. Hossein Saiedian

External paper reviewer for International Conference on Knowledge Science, Engineering and Management (KSEM 2024)

2024.06 - 2024.09, Amazon, Seattle. Applied Scientist Intern.
- Extract user emotions from video reviews, and apply the extracted emotions to improve the long-tail recommendation.
2021.01 - 2021.06, Baidu, Beijing. Software Development Engineering Intern.
- Developed Baidu translation software development kits (SDK) for mobile devices.