mlsanityData to 14 Oct 2026

NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language

arXiv 2208.13361 ↗First posted 29 Aug 2022cs.CR cs.CLcited by 0

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Abstract (arXiv)

The recent privacy leakage incidences and the more strict policy regulations demand a much higher standard of compliance for companies and mobile apps. However, such obligations also impose significant challenges on app developers for complying with these regulations that contain various perspectives, activities, and roles, especially for small companies and developers who are less experienced in this matter or with limited resources. To address these hurdles, we develop an automatic tool, NL2GDPR, which can generate policies from natural language descriptions from the developer while also ensuring the app's functionalities are compliant with General Data Protection Regulation (GDPR). NL2GDPR is developed by leveraging an information extraction tool, OIA (Open Information Annotation), developed by Baidu Cognitive Computing Lab. At the core, NL2GDPR is a privacy-centric information extraction model, appended with a GDPR policy finder and a policy generator. We perform a comprehensive study to grasp the challenges in extracting privacy-centric information and generating privacy policies, while exploiting optimizations for this specific task. With NL2GDPR, we can achieve 92.9%, 95.2%, and 98.4% accuracy in correctly identifying GDPR policies related to personal data storage, process, and share types, respectively. To the best of our knowledge, NL2GDPR is the first tool that allows a developer to automatically generate GDPR compliant policies, with only the need of entering the natural language for describing the app features. Note that other non-GDPR-related features might be integrated with the generated features to build a complex app.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 18 of its 84 references that are in the map. First posted on arXiv 29 Aug 2022.

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References · 18

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6 more
  1. 2019Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extractioncited by 15
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  5. 2021Text2App: A Framework for Creating Android Apps from Text Descriptionscited by 3
  6. 2019Designing Data Protection for GDPR Compliance into IoT Healthcare Systemscited by 1

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