I’m currently a third-year Ph.D. student 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
- 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
Teaching
- Fall 2022: TA for EECS 448 Software Engineering I, taught by Prof. Hossein Saiedian
- Spring, 2023 - Spring, 2024: TA for EECS 348 Software Engineering I, taught by Prof. Hossein Saiedian
Services
- External paper reviewer for International Conference on Distributed Computing Systems (ICDCS) 2024
- External paper reviewer for International Conference on Dependable Systems and Networks (DSN) 2024
Internships
- 2021.01 - 2021.06, Baidu, China.