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RightsGen: Automated Generation of User Rights Declaration on Android via LLM-Guided UI Traversal

  • Xi'an Jiaotong University
  • Ministry of Industry and Information Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Ensuring compliance with privacy regulations, such as GDPR and CCPA, has become a critical challenge for mobile applications. These regulations mandate that apps provide accessible paths for users to exercise rights, such as account deletion and data export. However, these paths are often buried deep within complex UI hierarchies, making manual auditing unscalable. In this paper, we introduce RightsGen, a framework that leverages Large Language Models (LLMs) to automate the discovery and documentation of user rights declarations in Android applications. Unlike traditional random UI fuzzers, RightsGen utilizes the semantic reasoning capabilities of LLMs to navigate dynamic UI states. It employs a path-oriented mechanism and a GUI Agent acting as a rights tester guided by structured rights tuples. In our evaluation across 144 popular apps, RightsGen demonstrated high efficiency in dynamic testing, achieving a recall rate of 92.5% in recognizing user rights paths and 87.3% in extracting rights tuples. These results highlight the effectiveness of RightsGen in automating the generation of user rights declarations.

源语言英语
主期刊名FSE Companion 2026 - Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering
编辑Shin Hwei Tan, Foutse Khomh
出版商Association for Computing Machinery, Inc
1599-1604
页数6
ISBN(电子版)9798400726361
DOI
出版状态已出版 - 17 7月 2026
活动ACM International Conference on the Foundations of Software Engineering, FSE 2026 - Montreal, 加拿大
期限: 5 7月 20269 7月 2026

丛书

姓名FSE Companion 2026 - Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering

会议

会议ACM International Conference on the Foundations of Software Engineering, FSE 2026
国家/地区加拿大
Montreal
时期5/07/269/07/26

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