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Oct 12 · Monday

All papers

Found 2 papers
Filter4

Attack type

Jailbreaks32Prompt injection11Extraction and theft2

Attack surface / entry point

User input2Web pages and interfaces0

System component

RAG5Reasoning chains5Fine-tuning and open weights3Vision2Multimodal6
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Attack type：Extraction and theftAttack surface / entry point：User inputAttack surface / entry point：Web pages and interfacesSystem component：VisionClear all

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  2. Evaluation and benchmarksarXiv 2609.33481

    IDUnlearn-Bench：面向视觉语言模型的个体级遗忘基准

    提出 IDUnlearn-Bench，评测 VLM 个体级遗忘后的身份残留

    arXiv
    2609.33481
    Published
    Layer
    Training and data layer
    Setting
    Models and APIs
    Evaluated models
    Qwen3-VL-2B, Qwen3-VL-4B, Qwen3-VL-8B and others6
    AbstractIDUnlearn-Bench 用四族探针显示：压低直接属性访问后，身份仍常能被反向查出、绑定或重构。

    IDUnlearn-Bench 评测 VLM 是否忘掉一个可跨模态识别的人，而不只是答不出某条监督事实。

    Paper analysisRead analysis
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