Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 265papers have no tags yet and are not included in filtered results.

Attack technique：Automated search Attack technique：Multi-turn escalation Defense type：Detection and filtering Clear all

Another 265papers do not have category tags yet and are not included in filtered results.

AttacksarXiv 2610.10612Oct 7
PyCache Trap 利用 Python 缓存替换绕过七款 Agent Skill 扫描器
提出 PyCache Trap，用字节码缓存替换绕过 Agent 技能扫描器
arXiv
2610.10612
Published
Oct 7
Layer
Application layer
Setting
coding agent
Evaluated models
CISCO, HSS, AUDITOR and others8
- DefensesDetection and filtering
- AttacksDetection evasion
- TechniqueDefense-targeted
- ComponentMCP and skills
Abstract论文剖析智能体技能审查与执行脱节盲区，提出 PyCache Trap 攻击并构建基于可信复现的 EAV 防御。
这篇论文研究了智能体技能（Agent Skills）安全扫描中的“审查–执行脱节”问题，并提出了对应的攻击验证与防御方案。
Paper analysisRead analysis
Evaluation and benchmarksarXiv 2609.36849Sep 29
研究评估 GradSafe 在多轮对话中的越狱检测脆弱性
评测多轮对话中 GradSafe 越狱检测的可分性与脆弱性
arXiv
2609.36849
Published
Sep 29
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
Llama 3.1 8B Instruct, Qwen2.5-7B-Instruct
- DefensesDetection and filtering
- AttacksJailbreaks
- TechniqueMulti-turn escalation
- ComponentGuardrails and judges
AbstractCWS 显示不安全梯度在真实多轮流量中变弱，且随攻击族和模型而变。
作者评估梯度越狱检测从单条提示词迁到多轮对话后还剩多少可分性，方法是用 Context Window Scanner 把 GradSafe 原封不动地套到用户轮窗口上。
Paper analysisRead analysis
AttacksarXiv 2608.09732Aug 10
ColluSkill 用跨技能组合绕过 Agent 技能扫描器
提出 ColluSkill，用跨技能组合绕过 Agent 技能扫描器
arXiv
2608.09732
Published
Aug 10
Layer
Application layer
Setting
coding agent
Attacker
Black-box, Gray-box
Evaluated models
GPT-5.5, DeepSeek-V4-Pro, GLM-5.2
- DefensesDetection and filtering
- AttacksDetection evasion
- TechniqueDefense-targeted
- ComponentMCP and skills
Abstract论文揭示了单技能孤立扫描的盲区，提出多技能链攻击 ColluSkill 与上下文防御 ChainGuard 并验证了有效性。
Paper analysisRead analysis
Evaluation and benchmarksarXiv 2606.02630May 30
MultiTurnPSB
构建 MultiTurnPSB，评测四轮医疗越狱与分类器输入防御
arXiv
2606.02630
Published
May 30
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
GPT-4.1-mini, Claude Sonnet 4.5
- DefensesDetection and filtering
- AttacksJailbreaks
- TechniqueMulti-turn escalation
- ComponentGuardrails and judges
Abstract多轮攻击加剧医疗模型风险，分类器干预有效但受高误报率制约。
MultiTurnPSB 针对患者端医疗大模型在持续交互中的安全风险，构建了包含三种攻击模态的四轮对抗评测基准。
Paper analysisRead analysis
Evaluation and benchmarksarXiv 2604.01444Apr 2
烹饪风险：大语言模型食品安全风险的基准测试与降低
提出 FoodGuardBench 与护栏 FoodGuard-4B，评测并降低食品危害越狱
arXiv
2604.01444
Published
Apr 2
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
Claude-3.7-Sonnet, GPT-4o, GPT-4.1 and others10
- DefensesDetection and filtering
- AttacksJailbreaks
- TechniqueAutomated search
- ComponentGuardrails and judges
Paper analysisRead analysis
AttacksarXiv 2601.05339Jan 9
多模态大语言模型的多轮越狱攻击与 FragGuard 防御
提出多轮多模态越狱，并用 FragGuard 拦截有害响应
arXiv
2601.05339
Published
Jan 9
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
LLaVa-1.6 (7B), LLaVa-1.6 (13B), Qwen-2-7B and others5
- DefensesDetection and filtering
- AttacksJailbreaks
- TechniqueMulti-turn escalation
- ComponentVision
Paper analysisRead analysis

You have reached the end

AI Safety Daily

Read the latest issueOne issue per day, updated as events develop

All papers

Attack type

Attack technique

Defense type

Impact

System type

Attacker access

Attack surface / entry point

Layer

System component

PyCache Trap 利用 Python 缓存替换绕过七款 Agent Skill 扫描器

研究评估 GradSafe 在多轮对话中的越狱检测脆弱性

ColluSkill 用跨技能组合绕过 Agent 技能扫描器

MultiTurnPSB

烹饪风险：大语言模型食品安全风险的基准测试与降低

多模态大语言模型的多轮越狱攻击与 FragGuard 防御