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Oct 12 · Monday

All papers

Found 7 papers

Filter4

Attack type

Prompt injection4

Attack technique

Reasoning-chain manipulation4

System type

AI Agent5

Attack surface / entry point

User input26 Web pages and interfaces3 Documents and messages3 Tool responses3 Code repositories and dependencies3 Memory writes2 Images, audio and video6 Training data4

Layer

Application layer6

System component

MCP and skills14 Memory45 RAG6 Guardrails and judges14 Monitors9 Reasoning chains7 Permissions and sandboxing21 Vision4 Multimodal4

Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 254papers have no tags yet and are not included in filtered results.

Attack surface / entry point：Documents and messages Attack surface / entry point：Code repositories and dependencies Attack surface / entry point：Memory writes System component：Reasoning chains Clear all

Another 254papers do not have category tags yet and are not included in filtered results.

DefensesarXiv 2609.35659Sep 29
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
arXiv
2609.35659
Published
Sep 29
Layer
Application layer
Setting
coding agent
Evaluated models
Claude Code (claude -p, version 2.1), 独立评审（同一 CLI，无工具）
- DefensesMonitoring and auditing
- AttacksPrompt injection
- RiskDangerous agent actions
- ComponentMonitors
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。
Paper analysisRead analysis
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 2608.09867Aug 11
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
arXiv
2608.09867
Published
Aug 11
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
Claude Opus 4.8, Claude Sonnet 4.6, Claude Haiku 4.5 and others13
- AttacksExtraction and theft
- TechniqueReasoning-chain manipulation
- ComponentReasoning chains
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。
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
AttacksarXiv 2602.18514Feb 20
招聘中的特洛伊木马：标准模型与推理模型间接提示注入的红队测试案例研究
用简历中的不可见指令做间接提示注入，操纵招聘推荐
arXiv
2602.18514
Published
Feb 20
Layer
Application layer
Setting
LLM applications
Evaluated models
Qwen 3 30B A3B Instruct 2507, Qwen 3 30B A3B Thinking 2507
- AttacksPrompt injection
- TechniqueEncoding and obfuscation
- ComponentReasoning chains
Abstract作者称推理在简单注入下会帮攻击圆谎，在不合逻辑的复杂注入下又会把欺骗漏出来。
Paper analysisRead analysis

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All papers

Attack type

Attack technique

System type

Attack surface / entry point

Layer

System component

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

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

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

招聘中的特洛伊木马：标准模型与推理模型间接提示注入的红队测试案例研究