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20232026
most citedTo Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods

19 citations · 45 across the 13 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.SE2024

"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 +4

AI-empowered tools have emerged as a transformative force, fundamentally reshaping the software development industry and promising far-reaching impacts across diverse sectors. This…

cs.CR2024★ 3 cited

A Solution toward Transparent and Practical AI Regulation: Privacy Nutrition Labels for Open-source Generative AI-based Applications

Meixue Si, Shidong Pan, Dianshu Liao +4

The rapid development and widespread adoption of Generative Artificial Intelligence-based (GAI) applications have greatly enriched our daily lives, benefiting people by enhancing c…

cs.SE2024

A Comparative Study of Android Performance Issues in Real-world Applications and Literature

Dianshu Liao, Shidong Pan, Siyuan Yang +3

Performance issues in Android applications significantly undermine users' experience, engagement, and retention, which is a long-lasting research topic in academia. Unlike function…

cs.SE2024

A Large-scale Investigation of Semantically Incompatible APIs behind Compatibility Issues in Android Apps

Shidong Pan, Tianchen Guo, Lihong Zhang +3

Application Programming Interface (API) incompatibility is a long-standing issue in Android application development. The rapid evolution of Android APIs results in a significant nu…

cs.SE2024★ 2 cited

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 +4

Augmenting missing key aspects in Textual Vulnerability Descriptions (TVDs) is crucial for effective vulnerability analysis. For instance, in TVDs, key aspects include Attack Vecto…

cs.CR2024★ 1 cited

{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation

Shidong Pan, Zhen Tao, Thong Hoang +7

Privacy policies have emerged as the predominant approach to conveying privacy notices to mobile application users. In an effort to enhance both readability and user engagement, th…