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Oct 12 · Monday

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Found 1 paper
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Attack technique

Gradient and representation optimization24Encoding and obfuscation1Cross-modal payloads18Defense-targeted3Dormant triggers5

Impact

Harmful content19Output manipulation1

System component

Guardrails and judges4Multimodal1
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Attack technique：Encoding and obfuscationImpact：Output manipulationSystem component：MultimodalClear all

Another 233papers do not have category tags yet and are not included in filtered results.

  1. Evaluation and benchmarksarXiv 2609.05843

    SinoGlyphBench：中文字形混淆下语言模型审核的诊断基准

    提出 SinoGlyphBench，用配对字形混淆诊断中文审核稳定性

    arXiv
    2609.05843
    Published
    Layer
    Prompt layer
    Setting
    Models and APIs
    Evaluated models
    GPT-5.4 mini, GPT-5.5, DeepSeek V4 Flash and others12
    AbstractSinoGlyphBench 显示中文字形混淆会同时增加有害漏报和误报，全文扰动最重。

    SinoGlyphBench是一个配对诊断基准，用来看内容审核在可还原的中文字形混淆下是否还保持原决定。

    Paper analysisRead analysis
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