I am a Ph.D. candidate in Electrical Engineering and Computer Science (EECS) at the University of Kansas, advised by Prof. Fengjun Li and Prof. Bo Luo. My research interests focus on security and privacy of machine learning systems, including model protection, Deepfake defenses, and copyright protection.
Education
- Ph.D. in Computer Science, University of Kansas (Aug 2021 – Present)
- M.Eng. in Computer Technology, University of Chinese Academy of Sciences (Aug 2017 – Jun 2020)
- B.Eng. in Network Engineering, Shandong University of Science and Technology (Aug 2013 – Jun 2017)
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 Proceedings of the European Symposium on Research in Computer Security (ESORICS), Bydgoszcz, Poland, 2024. [Link, PDF, Codes]
- 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 Proceedings of Privacy Enhancing Technologies Symposium (PETS), Bristol, UK, 2024. [Link, PDF, Codes]
Teaching
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Teaching Assistant, EECS 348 Software Engineering I, University of Kansas (Fall 2024 – Spring 2025, Instructor: Prof. David Johnson)
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Teaching Assistant, EECS 348 Software Engineering I, University of Kansas (Fall 2022 – Spring 2024, Instructor: Prof. Hossein Saiedian)
Services
- External reviewer for the International Conference on Knowledge Science, Engineering and Management (KSEM 2024)
Internships
- Applied Scientist Intern, Amazon, Seattle, WA (May 2025 – Aug 2025)
- Leveraged LLMs to infer user context patterns and enhanced retrieval candidate ranking by incorporating contextual information.
- Applied Scientist Intern, Amazon, Seattle, WA (Jun 2024 – Sep 2024)
- Extracted user emotions from video reviews using NLP and LLM techniques and applied them to enhance long-tail recommendation performance.
- Software Development Engineer Intern, Baidu, Beijing (Jan 2021 – Jun 2021)
- Developed Baidu translation SDKs for mobile devices, enabling integration of machine translation into Android and iOS applications.