Fangyu (Amy) Lin, Ph.D.

Assistant Professor, Information Systems and Cyber Security

Fangyu (Amy) Lin, Ph.D.

Contact

Bio

Fangyu (Amy) Lin is an Assistant Professor of Information Systems and Cyber Security at The University of Texas at San Antonio. She earned her Ph.D. from the Department of Management Information Systems at the University of Arizona. Dr. Lin's research focuses on information privacy, with an emphasis on addressing emerging threats and developing AI-enabled countermeasures. Specifically, she designs and develops efficient AI-driven solutions utilizing Large Language Models (LLMs), deep learning, and machine learning techniques to analyze privacy-related data, including privacy policies and personally identifiable information. Additionally, she conducts behavioral research grounded in theory to evaluate the utility of these AI solutions. Her work has been published in leading outlets such as MIS Quarterly, IEEE Intelligence and Security Informatics (ISI), IEEE International Conference on Data Mining Workshops (ICDMW), and IEEE MIPRO ICT and Electronics Convention (MIPRO) conferences. Dr. Lin also serves as a reviewer for several prominent IS journals and conferences, including Information Systems Research (ISR), Workshop on Information Technologies and Systems (WITS), and Digital Threats: Research and Practice (DTRAP).

Teaching

  • Database Management

Research Interests

  • Information Privacy, Privacy Risks Assessment, Personally Identifiable Information
  • Artificial Intelligence, Large Language Models, Deep Learning, Machine Learning, Text Mining

Degrees

  • Ph.D. University of Arizona
  • M.S. National Taiwan University
  • B.A. National Sun Yat-sen University

Publications

  • Lin, F., Samtani, S., Zhu, H., Brandimarte, L., & Chen, H. (Forthcoming). Automated Analysis of Changes in Privacy Policies: A Structured Self-Attentive Sentence Embedding Approach. MIS Quarterly.
  • Lin, F., Brandimarte, L., Brown, S., & Chen, H. (2024, May). Examining the Effect of Personalized PII Exposure Alerts on Individuals’ Privacy Protection Motivation. In 2024 47th MIPRO ICT and Electronics Convention (MIPRO) (pp. 1350-1355). IEEE.
  • Liu, Y., Lin, F. Y., Ebrahimi, M., Li, W., & Chen, H. (2021, November). Automated PII extraction from social media for raising privacy awareness: A deep transfer learning approach. In 2021 IEEE International Conference on Intelligence and Security Informatics (ISI) (pp. 1-6). IEEE.
  • Lin, F., Liu, Y., Ebrahimi, M., Ahmad-Post, Z., Hu, J. L., Xin, J., ... & Chen, H. (2020, November). Linking personally identifiable information from the dark web to the surface web: A deep entity resolution approach. In 2020 International Conference on Data Mining Workshops (ICDMW) (pp. 488-495). IEEE.
  • Liu, Y., Lin, F. Y., Ahmad-Post, Z., Ebrahimi, M., Zhang, N., Hu, J. L., ... & Chen, H. (2020, November). Identifying, collecting, and monitoring personally identifiable information: From the dark web to the surface web. In 2020 IEEE International Conference on Intelligence and Security Informatics (ISI) (pp. 1-6). IEEE.