Author

Dongfu Yin

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Preprint Aug 2026

Structure-Aware Robust Fine-Tuning: Defending Vision-Language-Action Robots Against Physical Attention Hijacking

Attention-Guided Semantic Disruption (AGSD), an Expectation-over-Transformation optimized printable patch that jointly concentrates action-to-vision attention on the patch and disrupts vision-language semantic alignment, yielding strong cross-task and cross-architecture transfer is proposed.

Jinquan Zhang, Dongfu Yin, Run Yang et al. · 0 citations

Preprint Aug 2026

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks

Attention-Protective Fine-Tuning (APFT) is proposed, a defense that stabilizes spatiotemporal attention and enforces geometric consistency with zero inference overhead that reduces the OpenVLA failure rate and highlights that protecting attention pathways is important for improving the robustness of VLA-driven edge nodes in sensor networks.

Dongfu Yin, Jinquan Zhang · 0 citations