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Bojun Yang

2 accepted papers

2026

Test-Time Attention Purification for Backdoored Large Vision Language Models

CVPR 2026

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 training data to implant behaviors that can be maliciously activated at test time. Existing defenses typic

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