Hi, I'm Chaoran Chen
Iβm a third-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, Iβm 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.
- 10/2024
- π©πͺ Worked as a research intern at the Max Planck Institute for Security and Privacy in Bochum, Germany, under the mentorship of Abraham Mhaidli. - 08/2024
- π Our paper βCareful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graphβ has been accepted in NDSS 2025. - 05/2024
- π Attended CHI 2024 in Hawaii and presented our paper: "An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors". - 04/2024
- π Won the third prize of Tech Ethics Hackathon hosted by Notre Dame-IBM Technology Ethics Lab - 05/2023
- π« Participanted in the Post-CHI Summer School on Usable Privacy and Security at Technical University of Munich. - 04/2023
- π Attended CHI 2023 in Hamburg and presented our work about empathy privacy in one of the CHI workshops: "Privacy Interventions and Education (PIE): Encouraging Privacy Protective Behavioral Change Online". - 10/2022
- π Attended MobileHCI 2022 in Vancuver as a SV and participanted in the Student Design Competition. Our work Taptag won the Best Implementation Award! - 08/2022
- π Graduated from METALS program at Carnegie Mellon University and moved to Notre Dame to start my Ph.D. study in HCI, Cybersecurity, and Privacy.
CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications
Chaoran Chen, Daodao Zhou, Yanfang Ye, Toby Jia-jun Li, Yaxing Yao
Arxiv preprint
Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations
Chaoran Chen, Leyang Li, Luke Cao, Yanfang Ye, Tianshi Li, Yaxing Yao, Toby Jia-jun Li
Arxiv preprint
Careful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graph
Shang M, Chaoran Chen, Shao Yang, Shifu Hou, Toby Jia-Jun Li, Xusheng Xiao, Tao Xie, Yanfang Ye
Network and Distributed System Security Symposium ((NDSS 2025)
Symbolic Prompt Tuning Completes the App Promotion Graph
Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Shang Ma, Chaoran Chen, Chunhui Zhang, Toby Li, Xusheng Xiao, Chuxu Zhang, Yanfang Ye
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2024)
An Empathy-Based Sandbox Approach to Bridge Attitudes, Goals, Knowledge, and Behaviors in the Privacy Paradox
Chaoran Chen, Weijun Li, Wenxin Song, Yaxing Yao, Yanfang Ye, Toby Jia-jun Li
In the Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI 2024)
ARDW: An Augmented Reality Workbench for Printed Circuit Board Debugging
Ishan Chatterjee, Tadeusz Pforte, Aspen Tng, Farshid Salemi Parizi, Chaoran Chen, Shwetak Patel
In the Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (UIST 2022)[video]
Patterns for representing knowledge graphs to communicate situational knowledge of service robots
Shengchen Zhang, Zixuan Wang, Chaoran Chen, Yi Dai, Lyumanshan Ye, Xiaohua Sun
In the Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI 2021)[video]
AI-Sketcher: A Deep Generative Model for Producing High-Quality Sketches
Nan Cao, Xin Yan, Yang Shi, Chaoran Chen
The thirty-third AAAI conference on artificial intelligence (AAAI 2019)