Authors: Tianshi Li, Lorrie Faith Cranor, Yuvraj Agarwal, Jason I. Hong

Published on: February 05, 2024

Impact Score: 8.12

Arxiv code: Arxiv:2402.03582

Summary

• What is new: Introducing Matcha, an IDE plugin for automated code analysis to aid in creating accurate Google Play data safety labels.
• Why this is important: The inaccuracy of self-reported privacy labels on mobile app stores due to developers’ misunderstandings.
• What the research proposes: Matcha helps developers detect user data accesses and transmissions, and improve privacy label accuracy through automated code analysis.
• Results: An evaluation with 12 developers showed improved accuracy of privacy labels for real-world apps and a preference for Matcha over Google’s official tool.

Technical Details

Technological frameworks used: IDE plugin

Models used: Automated code analysis

Data used: User data accesses and transmissions in app code

Potential Impact

Mobile app development, app marketplaces (Apple, Google), and companies focusing on app privacy compliance and security.

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