ChartAttack: Testing the Vulnerability of LLMs to Malicious Prompting in Chart Generation
arXiv:2601.12983v2 Announce Type: replace
Abstract: Multimodal large language models (MLLMs) are increasingly used to automate chart generation from data tables, enabling efficient data analysis and reporting but also introducing new misuse risks. In …