Desktop GUI agents face TOCTOU attacks from UI state changes during the ~6.5s observation-to-action gap, with a three-layer pre-execution verification defense achieving 100% interception on two attack types but failing on DOM injection.
Visual confused deputy: Exploiting and defending perception failures in computer-using agents.arXiv preprint arXiv:2603.14707, 2026
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
The Workload-Router-Pool architecture is a 3D framework for LLM inference optimization that synthesizes prior vLLM work into a 3x3 interaction matrix and proposes 21 research directions at the intersections.
citing papers explorer
-
Temporal UI State Inconsistency in Desktop GUI Agents: Formalizing and Defending Against TOCTOU Attacks on Computer-Use Agents
Desktop GUI agents face TOCTOU attacks from UI state changes during the ~6.5s observation-to-action gap, with a three-layer pre-execution verification defense achieving 100% interception on two attack types but failing on DOM injection.
-
The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project
The Workload-Router-Pool architecture is a 3D framework for LLM inference optimization that synthesizes prior vLLM work into a 3x3 interaction matrix and proposes 21 research directions at the intersections.