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Oct 13 · Tuesday

All papers

Found 4 papers

Filter4

Attack technique

Reasoning-chain manipulation3

System type

AI Agent4

Attack surface / entry point

User input4 Web pages and interfaces3 Documents and messages2 Tool responses4 Memory writes2

Layer

Application layer4

System component

MCP and skills14 Memory49 RAG4 Guardrails and judges8 Monitors8 Reasoning chains4 Permissions and sandboxing16 Vision3 Multimodal3

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System type：AI Agent Attack surface / entry point：Documents and messages Attack surface / entry point：Memory writes System component：Reasoning chains Clear all

Another 213papers do not have category tags yet and are not included in filtered results.

AttacksarXiv 2609.27542Sep 23
Researchers use control token injection to delete gpt-oss-20b's reasoning chain and bypass chain-of-thought monitoring
提出控制标记注入，清空工具 Agent 的思维链以绕过推理监控
arXiv
2609.27542
Published
Sep 23
Layer
Application layer
Setting
AI Agent
Evaluated models
openai/gpt-oss-20b, google/gemma-4-26B-A4B-it, deepseek-ai/DeepSeek-R1-Distill-Qwen-7B and others4
- AttacksPrompt injection
- TechniqueConversation structure manipulation
- ComponentReasoning chains
Abstract论文阐明控制标记注入可抑制 CoT 使监控失效并促成拒绝绕过，且工具执行受解析器宽容度影响。
Paper analysisRead analysis
OtherarXiv 2609.12413Sep 11
SoK 综述：智能体 AI 时代的越狱攻击、防御与实践考量
系统梳理智能体执行链路中的越狱攻击与防御并比较推理时防御
arXiv
2609.12413
Published
Sep 11
Layer
Application layer
Setting
AI Agent
Evaluated models
Qwen3.5-4B, Llama-3.1-8B-Instruct
- AttacksJailbreaks
- ComponentMemory
AbstractSoK 将越狱重放到智能体流水线，并用两种模型检验回复层防御的边际与代价。
Mia 等人把越狱安全从单轮回复扩展到智能体的规划、记忆、工具和智能体间通信，并问既有结论在更强原生对齐下是否还成立。
Paper analysisRead analysis
AttacksarXiv 2606.14517Jun 12
Researchers disclose a reasoning-amplified denial-of-service attack against LLM agent guardrails
提出针对 Agent 护栏的推理扩展拒绝服务攻击
arXiv
2606.14517
Published
Jun 12
Layer
Application layer
Setting
AI Agent
Attacker
Black-box
Evaluated models
TS-Guard-8B, Qwen3.5-9B, DeepSeek-V3.2 and others11
- AttacksDenial of service
- TechniqueReasoning-chain manipulation
- ComponentGuardrails and judges
Paper analysisRead analysis
AttacksarXiv 2604.05549Apr 7
Stop obsessing over prompts: reasoning hijacking and constraint tightening for red-teaming LLM agents
提出 JailAgent，不改用户提示，经推理劫持与记忆投毒操纵 Agent 动作
arXiv
2604.05549
Published
Apr 7
Layer
Application layer
Setting
AI Agent
Evaluated models
GPT-3.5-turbo, GPT-4o, GPT-5 and others7
- AttacksPoisoning and backdoors
- TechniqueReasoning-chain manipulation
- ComponentMemory
AbstractJailAgent 不改提示词，用三阶段操纵推理与检索。
JailAgent 是不修改用户原始提示词的 LLM 智能体红队框架。
Paper analysisRead analysis

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All papers

Attack technique

System type

Attack surface / entry point

Layer

System component

Researchers use control token injection to delete gpt-oss-20b's reasoning chain and bypass chain-of-thought monitoring

SoK 综述：智能体 AI 时代的越狱攻击、防御与实践考量

Researchers disclose a reasoning-amplified denial-of-service attack against LLM agent guardrails

Stop obsessing over prompts: reasoning hijacking and constraint tightening for red-teaming LLM agents