AIBearisharXiv – CS AI · 18h ago7/10
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MLingualFC: Evaluating Jailbreak Vulnerabilities in Multilingual Vision-Language Models
Researchers introduced MLingualFC, a benchmark revealing significant safety vulnerabilities in multilingual Vision-Language Models through flowchart-based jailbreak attacks across five languages. The study demonstrates that current VLM safety mechanisms fail to generalize across linguistic and visual modalities, with Latin script languages showing substantially higher attack success rates than non-Latin scripts like Punjabi.