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Oct 12 · Monday

All papers

Found 4 papers
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Attack type

Jailbreaks49Prompt injection19Poisoning and backdoors8Extraction and theft4Detection evasion20Malicious use7

Impact

Data and privacy leaks3

System type

Models and APIs3

Attack surface / entry point

User input6Images, audio and video4Weights and gradients3

System component

Memory0Multimodal4
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Attack type：Extraction and theftAttack surface / entry point：Images, audio and videoSystem component：MemorySystem component：MultimodalClear all

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

  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
  3. DefensesarXiv 2609.23586

    VidMark：面向视频生成模型知识产权保护的高效水印方案

    提出 VidMark 水印方案，核验视频生成模型的输出来源与所有权

    arXiv
    2609.23586
    Published
    Layer
    Model layer
    Setting
    Models and APIs
    Evaluated models
    Stable Video Diffusion (SVD), Open-Sora, Wan
    AbstractVidMark 加解码器引导微调，把模型签名写入 VGM 输出并用于两项核验。

    Huang 等人提出一套面向视频生成模型的生成内嵌水印方案，用来同时判断一条视频是否来自受保护模型，以及一个嫌疑模型是否为该模型的拷贝。

    Paper analysisRead analysis
  4. AttacksarXiv 2508.06837

    Prometheus：针对文生图扩散模型的免训练提示词窃取攻击

    提出 Prometheus，从展示图反推文生图模型的在售提示词

    arXiv
    2508.06837
    Published
    Layer
    Model layer
    Setting
    Models and APIs
    Attacker
    No-box (offline transfer)
    Evaluated models
    Midjourney, Leonardo.ai, DALL·E and others4
    Abstract训练无关的 proxy 搜索攻击。

    Prometheus 是针对文生图市场 showcase 的训练无关提示词窃取：攻击者看不到在售文本，只用本地开源 proxy 恢复 subject 和 modifier，并希望换 subject 后风格仍在。

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