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Oct 12 · Monday

All papers

Found 2 papers
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Attack type

Jailbreaks31Prompt injection5Detection evasion6Malicious use2

Layer

Prompt layer2Application layer6

System component

Memory0Monitors0Vision2Multimodal4
Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 240papers have no tags yet and are not included in filtered results.
Attack type：Malicious useLayer：Prompt layerSystem component：MemorySystem component：MonitorsSystem component：VisionClear all

Another 240papers do not have category tags yet and are not included in filtered results.

  2. AttacksarXiv 2601.12983

    ChartAttack：测试大语言模型在图表生成中对恶意提示的脆弱性

    提出 ChartAttack，用恶意提示驱动代码模型生成误导图表

    arXiv
    2601.12983
    Published
    Layer
    Prompt layer
    Setting
    Models and APIs
    Evaluated models
    Claude-4.6-Sonnet, GPT-4o, Gemini-2.5-Flash and others20
    AbstractChartAttack 生成不改数据的误导图，降低 MLLM 与人类的图表问答准确率。

    ChartAttack 研究恶意提示能否让 MLLM 在不改数据的情况下生成误导图表，并量化这些图对其他 MLLM 和人类图表问答的影响。

    Paper analysisRead analysis
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