微软研究院发布 CAVEAT
提出 CAVEAT 基准，评测激励失配市场中计算机使用 Agent 的购买决策退化
- arXiv
- 2609.27273
- Published
- Layer
- Application layer
- Setting
- web agent
- Evaluated models
- GPT-5.6-Sol, GPT-5.6-Terra, GPT-5.6-Luna and others14
Abstract提出 CAVEAT 基准揭示智能体在商业偏好下的决策退化，诊断出三类失效并给出缓解方案。
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- AttacksarXiv 2608.04565
研究者提出 Breadcrumbing 长程攻击，可劫持 DeepResearch 类搜索 Agent 的证据链
提出权威链劫持与轨迹引导策略演化，劫持搜索 Agent 的证据链
- arXiv
- 2608.04565
- Published
- Layer
- Application layer
- Setting
- web agent
- Evaluated models
- Qwen3.5-9B, Gemma4-31B, DeepResearch and others7
- AttacksPrompt injection
- TechniqueAutomated search
- ComponentRAG
Abstract论文揭示了多步搜索智能体在受限中间人操纵下的脆弱性，提出 ACH 策略与 TGSE 演化方法并完成系统验证。
MisKnow-Agent 评测
用 MisKnow-Agent 评测深度研究智能体是否采纳误导文档结论
- arXiv
- 2607.20891
- Published
- Layer
- Application layer
- Setting
- web agent
- Evaluated models
- DeerFlow, WebThinker, Gemini Deep Research and others6
- AttacksPrompt injection
- ComponentRAG
Abstract论文通过 MisKnow-Agent 框架评估发现长程研究智能体易采纳误导性知识，且现有防御难以完全消除该现象。
- AttacksarXiv 2603.16960
针对现代视觉语言模型的对抗攻击
对开源视觉购物智能体实施商品图对抗攻击并诱导买错
- arXiv
- 2603.16960
- Published
- Layer
- Application layer
- Setting
- web agent
- Evaluated models
- LLaVA-v1.5-7B, Qwen2.5-VL-7B
- AttacksPrompt injection
- TechniqueGradient and representation optimization
- ComponentVision
Abstract作者称 LLaVA 易被三种攻击诱导买错，Qwen 正确购买率仍接近其干净条件。
作者在自建电商环境里比较两个开源 VLM 购物智能体对图像对抗扰动的鲁棒性。
MalURLBench：评估 Agent 处理网页 URL 时脆弱性的基准
提出 MalURLBench 评测 Agent 是否接受结构伪装的恶意 URL
- arXiv
- 2601.18113
- Published
- Layer
- Application layer
- Setting
- web agent
- Evaluated models
- GPT-3.5-Turbo, GPT-4o-mini, GPT-4o and others13
- DefensesDetection and filtering
- AttacksJailbreaks
- ComponentGuardrails and judges
SafeArena：首个评估自主网页 Agent 滥用风险的基准
提出 SafeArena 基准，评测网页 Agent 是否执行故意有害任务
- arXiv
- 2503.04957
- Published
- Layer
- Application layer
- Setting
- web agent
- Evaluated models
- GPT-4o, Claude-3.5-Sonnet, Qwen-2-VL-72B and others5
- AttacksMalicious use
AbstractSafeArena 用配对任务和 ARIA 评测网页智能体的故意滥用。
SafeArena 评测自主网页智能体是否会执行用户故意给出的恶意网页任务。。
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