[Oakland'25] A Big Step Forward? A User-Centric Examination of iOS App Privacy Report and Enhancements
Liu Wang, Dong Wang, Shidong Pan, Zheng Jiang, Haoyu Wang, Yi Wang
IEEE Symposium on Security and Privacy 2025, acceptance rate: 14.8%. (Core-A*, CCF-A)

[CHI'25] Privacy Meets Explainability: Managing Confidential Data and Transparency Policies in LLM-Empowered Science
Yashothara Shanmugarasa, Shidong Pan, Ming Ding, Dehai Zhao, Thierry Rakotoarivelo
CHI conference on Human Factors in Computing System (Late-Breaking Work) 2025, acceptance rate: 32.8%. [Paper]

[TSE'25] Do Chase Your Tail! Missing Key Aspects Augmentation in Textual Vulnerability Descriptions of Long-tail Software through Feature Inference
Linyi Han, Shidong Pan†, Zhenchang Xing, Jiamou Sun, Sofonias Yitagesu, Xiaowang Zhang†, Zhiyong Feng
Transactions on Software Engineering, 2025 [Paper] (Core-A*, CCF-A)

[TSE'24] $A^3$-CodGen: A Repository-Level Code Generation Framework for Code Reuse with Local-Aware, Global-Aware, and Third-Party-Library-Aware
Dianshu Liao, Shidong Pan†, Xiaoyu Su, Xiaoxue Ren, Qing Huang†, Zhenchang Xing, Huan Jin, Qinying Li
Transactions on Software Engineering, 2024 [Paper] (Core-A*, CCF-A)

[AI&Ethics'24 (b)] Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions
Dawen Zhang, Pamela Finckenberg-Broman, Thong Hoang, Shidong Pan, Zhenchang Xing, Mark Staples, Xiwei Xu
Springer, AI and Ethics, 2024 (was appeared on ACM FAccT - ChatLLM'23 workshop) [Paper]

[Sec'24 (b)] A New Hope: {Contextual Privacy Policies} for Mobile Applications And an Approach Toward Automated Generation
Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Xiwei Xu, Mark Staples, Thierry Rakotoarivelo, David Lo
USENIX Security 2024, Fall round acceptance rate: 17.3%. [Paper] (Core-A*, CCF-A)

[Sec'24 (a)] Is It a Trap? A Large-scale Empirical Study And Comprehensive Assessment of Online {Automated Privacy Policy Generators} for Mobile Apps
Shidong Pan, Dawen Zhang, Mark Staples, Zhenchang Xing, Jieshan Chen, Xiwei Xu, James Hoang
USENIX Security 2024, Summer round acceptance rate: 19% (98/515). [Paper] (Core-A*, CCF-A)

[AI&Ethics'24 (a)] To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods
Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu
Springer, AI and Ethics, 2024 [Paper]

Toward the Cure of Privacy Policy Reading Phobia: Automated Generation of Privacy Nutrition Labels From Privacy Policies
Shidong Pan, Thong Hoang, Dawen Zhang, Zhenchang Xing, Xiwei Xu, Qinghua Lu, Mark Staples
Pre-print [Paper]

"I Don't Use AI for Everything": Exploring Utility, Attitude, and Responsibility of AI-empowered Tools in Software Development
Shidong Pan, Litian Wang, Tianyi Zhang, Zhenchang Xing, Yanjie Zhao, Qinghua Lu, Xiaoyu Sun
Pre-print [Paper]

Repo2Label: Regulation Driven Privacy Labels for Generative AI-based Applications
Meixue Si*, Shidong Pan*†, Dianshu Liao, Xiaoyu Sun, Zhen Tao, Wenchang Shi, Zhenchang Xing
Pre-print [Paper]

A Large-scale Investigation of Semantically Incompatible APIs behind Compatibility Issues in Android Apps
Shidong Pan, Tianchen Guo, Lihong Zhang, Pei Liu, Zhenchang Xing, Xiaoyu Sun
Pre-print [Paper]