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Oct 13 · Tuesday

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Found 13 papers

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  1. AttacksarXiv 2610.12644

    Cancerous backdoor attack: progressive activation via invisible tokens and a stage controller.

    Proposes the Cancerous backdoor, which progressively corrupts reasoning using invisible stage tokens.

    Published
    Evaluated models
    Llama-3.1-8B-Instruct, Qwen2.5-7B-Instruct, Mistral-7B-Instruct-v0.3
    AbstractHidden tokens plus a stage controller make the backdoor progressively corrupt reasoning upon triggering, and the authors believe that looking only at the answer will miss it.

    Cancerous Backdoor Attack changes LLM backdoors from one-time activation to multi-stage reasoning corruption that accumulates progressively with triggers.

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  2. DefensesarXiv 2609.38909

    Purdue 提出 Pact:将欺骗作为行为遗忘

    提出 PACT,遗忘推理模型在压力下的欺骗行为并保留上下文理解

    Published
    Attacker
    White-box
    Evaluated models
    DeepSeek-R1-Distill-Qwen-32B, QwQ-32B

    Abstract论文将大模型欺骗形式化为上下文条件行为,提出 PACT 框架在消除欺骗的同时保留了上下文遵循能力。

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  3. DefensesarXiv 2609.36562

    ThinkingGuard:通过逐步风险归因解码多模态大语言模型中的隐式危害

    构建 TriggerBench 并训练 ThinkingGuard,检测图文隐式风险

    Published
    Evaluated models
    ThinkingGuard(Qwen3-VL-8B-Instruct)
    AbstractTriggerBench 隔离触发条件,ThinkingGuard 用分步归因在隐式风险检测上取得作者报告的较高平均分。

    这篇工作研究多模态隐式风险检测:图文各自良性,风险只在关键元素与触发元素交互时出现。

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  4. DefensesarXiv 2609.35659

    Tracekit:面向自主编码 Agent 的防篡改意图-推理-动作审计系统

    提出 Tracekit,审计编码 Agent 的意图、推理与动作并检测账本篡改

    Published
    Evaluated models
    Claude Code (claude -p, version 2.1), 独立评审(同一 CLI,无工具)
    AbstractTracekit 把意图、自述和动作写入可锚定的哈希链。

    Tracekit 是无第三方依赖的编码智能体审计层:把人类请求、模型自述和已执行动作并排写入可外部锚定的哈希链,执行前用正则门,事后用规则和独立模型互查。

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  5. DefensesarXiv 2608.12876

    SPARED:用对抗编辑数据训练基于推理的 AI 生成图像检测器

    提出 SPARED,用对抗编辑数据训练基于推理的 AI 生成图像检测器

    Published
    Evaluated models
    Qwen3.5-9B
    AbstractSPARED 用防捷径的编辑对抗环训练 9B 推理检测器。

    SPARED 是一套用于可解释 AI 生成图像检测的攻防强化学习流程,报告模型是 Qwen3.5-9B 上的第三轮防御器。

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  6. AttacksarXiv 2608.09867

    Researchers steal proprietary LLM inference chains via cross-model compatibility of encrypted inference blocks

    利用加密思维块的跨模型重放,诱导弱模型逐字转写专有推理链

    Published
    Attacker
    Black-box
    Evaluated models
    Claude Opus 4.8, Claude Sonnet 4.6, Claude Haiku 4.5 and others13

    Abstract论文揭示了客户端加密思维块跨模型互换漏洞,提出了低成本提取方法并给出防御方案。

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  7. AttacksarXiv 2605.30040

    研究揭示 LLM 按 token 计费可被服务商系统性虚报

    构造可通过计费审计的 token 虚报,使服务商系统性超收

    Published
    Evaluated models
    PALACE domain-adapted auditor
    Abstract不诚实提供方可在三种 token 审计上虚报并通过检查,作者认为需改用提供方不控制的证据。

    不透明 LLM 的按 token 计费里,现有审计核验的是提供方可控的证据,不诚实提供方可以虚报并通过检查。。

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  8. AttacksarXiv 2603.09246

    研究者提出 Reasoning-Oriented Programming,通过链式语义片段越狱大型视觉语言模型

    提出 VROP,把有害意图拆成良性视觉 gadget 越狱视觉语言模型

    Published
    Attacker
    Black-box
    Evaluated models
    GPT-4o, Claude 3.7 Sonnet, GLM-4V-Plus and others7
    AbstractVROP 以良性视觉 gadget 与控制流提示词做组合越狱。

    VROP是 black-box 多模态越狱框架:不在输入中放显式恶意触发,而把有害目标拆成语义正交的良性视觉 gadget,再用控制流提示词把合成留到后期推理。

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  9. DefensesarXiv 2602.11096

    Safety Recovery of Reasoning Models Only Needs a Few Early Steps of Guidance

    Proposes SafeThink, an inference-time defense that monitors the chain of thought and injects a redirect prefix when it falls below a threshold.

    Published
    Evaluated models
    R1-Onevision-7B, OpenVLThinker-7B, VLAA-Thinker-7B and others6
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  10. AttacksarXiv 2406.12814

    论文提出 ARE 框架,在 VisualWebArena 上评估多模态 Agent 的对抗鲁棒性

    提出 ARE 框架与图像文本攻击,评测多模态网页 Agent 的对抗鲁棒性

    Published
    Setting
    web agent
    Evaluated models
    GPT-4o, GPT-4V, Claude-3-Opus and others4

    Abstract系统评估多模态网页智能体的脆弱性,指出推理时计算组件被攻破会加剧系统风险。

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