AI RESEARCH
Test-Time Attention Purification for Backdoored Large Vision Language Models
arXiv CS.CV
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ArXi:2603.12989v1 Announce Type: new Despite the strong multimodal performance, large vision-language models (LVLMs) are vulnerable during fine-tuning to backdoor attacks, where adversaries insert trigger-embedded samples into the