Users show limited grasp of GenAI smartphone data practices but heightened privacy concerns across collection, storage, and control, calling for better transparency and user controls.
Private attribute inference from images with vision-language models
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
CAPED reduces incidental visual privacy leakage in mobile GUI agents from 0.766 to 0.268 on seeded AndroidWorld tasks by selectively exposing only task-relevant screen content.
The work proposes and evaluates techniques to reduce PII exposure from image context in online vision-language models while preserving utility for downstream applications.
citing papers explorer
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Understanding User Privacy Perceptions of GenAI Smartphones
Users show limited grasp of GenAI smartphone data practices but heightened privacy concerns across collection, storage, and control, calling for better transparency and user controls.
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CAPED: Context-Aware Privacy Exposure Defense for Mobile GUI Agents
CAPED reduces incidental visual privacy leakage in mobile GUI agents from 0.766 to 0.268 on seeded AndroidWorld tasks by selectively exposing only task-relevant screen content.
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Assessing Privacy Preservation and Utility in Online Vision-Language Models
The work proposes and evaluates techniques to reduce PII exposure from image context in online vision-language models while preserving utility for downstream applications.