Chaoran Chen

Personal Websites

• Chaoran Chen

Recent Publications:

• Chaoran Chen, Weijun Li, Wenxin Song, Yanfang Ye, Yaxing Yao, Toby Jia-Jun Li: An Empathy-Based Sandbox Approach to Bridge Attitudes, Goals, Knowledge, and Behaviors in the Privacy Paradox. CoRR abs/2309.14510 (2023)

Projects:

• Empathy privacy: We present an empathy-based solution to the "privacy paradox," using artificially generated personas in a risk-free sandbox, enhancing user understanding and promoting privacy behavior changes.

  Malware propagation through in-app ads: This study uses dynamic program analysis and graph learning to examine malware risks in app-promotion ads within the Android ecosystem, revealing increased security threats in the Google Play market.

About me:

I’m a second-year PhD student in the Department of Computer Science and Engineering at the University of Notre Dame. I am co-advised by Dr. Toby Jia-Jun Li and Dr. Fanny Yanfang Ye. Before joining ND, I received my M.S degrees in Educational Technology and Applied Learning Science from Carnegie Mellon University. I received B.Eng in Industrial Design from Tongji University.

My work falls in the intersection of Human-Computer Interaction, Cybersecurity, Graph Learning, and Usable Privacy, where I use human-centered methods to design, build, and evaluate human-AI collaborative systems to strengthen the trustworthiness and explainability, ranging from mobile ads promotion to privacy paradox. Besides, I’m also passionate about leveraging the state-of-the-art AI techniques (e.g. generative models) to benefit a variety of human needs and optimizing user experience accordingly.

Research Interests:

Human-AI Interaction, Human-centered AI, Usable Privacy, Graph Learning, Large Language Models

Education: