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Evaluating MLLM Security for the Arabic and French Languages
Razane Abdallah, Majed Sanan, Mohamad Nassar
Intelligence
Status: succeeded | Model: google/gemini-3.1-flash-lite-preview | Prompt: intel-v1 | Confidence: 96%
Last extracted: 3/11/2026, 12:56:30 AM
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Abstract
Extends the MLLMGuard benchmark to Arabic and French, finding MLLMs remain vulnerable to adversarial prompts in both languages, with lightweight safety prompts reducing attack success by ~10%.
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