pith:IGUHBM3I
GUIGuard-Bench: Toward a General Evaluation for Privacy-Preserving GUI Agents
GUIGuard-Bench shows current models detect private information in GUI screenshots but struggle with precise localization, category recognition, risk assessment, and judging task necessity.
arxiv:2601.18842 v3 · 2026-01-26 · cs.CR · cs.AI · cs.CV
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Claims
Our results show that current models can often detect whether a screenshot contains private information, but they struggle with fine-grained localization, category recognition, risk assessment, and task-necessity judgment. We also find that closed-source models, exemplified by Claude Sonnet 4.6, can maintain largely consistent planner semantics in Android environments after privacy protection is applied.
The human-provided region-level annotations for privacy bounding boxes, categories, risk levels, and task necessity are accurate and representative of real-world GUI agent privacy risks across the collected trajectories.
GUIGuard-Bench is a new benchmark with annotated GUI screenshots that measures privacy recognition, planning fidelity under protection, and utility impact for trajectory-based GUI agents.
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| First computed | 2026-05-18T03:09:24.270098Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/IGUHBM3ILRES72S7KXNTQ2X4OP \
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Canonical record JSON
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