Adversarial images transfer across languages in MLLMs while apparent safety in weaker languages stems from comprehension and visual-grounding failures rather than genuine alignment.
Polylm: An open source polyglot large language model.arXiv preprint arXiv:2307.06018, 2023
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Exploring Adversarial Robustness and Safety Alignment in Multilingual Multi-Modal Large Language Models
Adversarial images transfer across languages in MLLMs while apparent safety in weaker languages stems from comprehension and visual-grounding failures rather than genuine alignment.