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News/ChartAttack: Testing the Vulnerability of LLMs to Malicious Prompting in Chart Generation
arxiv
PublishedSeptember 3, 2026 at 4:00 AM

ChartAttack: Testing the Vulnerability of LLMs to Malicious Prompting in Chart Generation

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arXiv:2601.12983v4 Announce Type: replace Abstract: Multimodal large language models (MLLMs) are increasingly used to automate chart generation from data tables, improving efficiency but introducing new misuse risks. We present ChartAttack, a framework for evaluating how MLLMs use design misleaders

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