An anonymization framework replaces sensitive UI content with deterministic placeholders to protect privacy in mobile GUI agents while preserving task performance.
Anyattack: Towards large-scale self-supervised adversarial attacks on vision-language models
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Anonymization-Enhanced Privacy Protection for Mobile GUI Agents: Available but Invisible
An anonymization framework replaces sensitive UI content with deterministic placeholders to protect privacy in mobile GUI agents while preserving task performance.