Publications

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)