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Oct 12 · Monday

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Found 147 papers

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MCP and skills4 RAG4 Guardrails and judges32 Reasoning chains11 Fine-tuning and open weights3 Vision26 Audio7 Image generation13 Multimodal46

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AttacksarXiv 2610.12292Oct 9
The paper proposes an option channel attack: changing one option label can make an agent guardrail allow a prohibited operation
Proposing an option channel attack that renames option labels so that agent guardrails allow prohibited operations
arXiv
2610.12292
Published
Oct 9
Layer
Application layer
Setting
LLM applications
Attacker
Black-box
Evaluated models
LAYA-TD, LAYA-EN, LAYA-ML and others5
- AttacksDetection evasion
- ComponentGuardrails and judges
AbstractThe authors' evaluation indicates that typed models should not serve as final safety arbiters; they are susceptible to off-policy text and option name manipulation, and confidence filtering cannot resist attacks.
Paper analysisRead analysis
AttacksarXiv 2610.11112Oct 8
EpiReal-Bench：商用图像生成模型虚假声明红队基准
构建 EpiReal-Bench，评测图像生成器将虚假主张渲染为可信证据
arXiv
2610.11112
Published
Oct 8
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
GPT-Image-2, Nano Banana 2, Grok Imagen 2.0 and others4
- AttacksJailbreaks
- ComponentImage generation
Abstract四款商用图像模型能把假主张画成可信证据。
EpiReal-Bench 用来量商用图像生成器会不会把虚假现实主张画成可信视觉证据。
Paper analysisRead analysis
AttacksarXiv 2610.10742Oct 8
BRANCH 方法绕过 6 套多扫描器护栏系统
提出 BRANCH 方法，用分支搜索绕过多扫描器护栏
arXiv
2610.10742
Published
Oct 8
Layer
Application layer
Setting
LLM applications
Attacker
Black-box
Evaluated models
Meta Llama Guard 3 8B, Meta Llama Guard 7B, Meta Llama Guard 3 1B and others18
- AttacksDetection evasion
- TechniqueAutomated search
- ComponentGuardrails and judges
Paper analysisRead analysis
AttacksarXiv 2610.07323Oct 6
ATLAS：用自适应信任域与主动学习搜索潜在对抗样本集
提出 ATLAS 用水平集估计恢复黑盒分类器的对抗输入集合
arXiv
2610.07323
Published
Oct 6
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
LeNet5, ResNet50 (CIFAR-10 standard), ResNet50 (ImageNet standard) and others5
- AttacksDetection evasion
- TechniqueAutomated search
AbstractATLAS 用主动水平集估计构造黑盒对抗集，作者称其集合比单点攻击更具代表性。
ATLAS 是一个查询式 black-box 框架，用来构造诱发失败的对抗输入集合，供鲁棒性审计使用。
Paper analysisRead analysis
AttacksarXiv 2610.06848Oct 6
TranScope：利用 CPU 性能计数器对 Transformer 做成员推断攻击
提出 TRANSCOPE，用 CPU 硬件计数器推断训练集成员
arXiv
2610.06848
Published
Oct 6
Layer
Infrastructure layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
BERT (4.4M-340M), ViT (22M-307M), Pythia (70M-2.8B) and others5
- AttacksExtraction and theft
- TechniqueSide channels
AbstractTRANSCOPE 揭示了分词器在嵌入表引发的硬件访问局部性差异，证实微架构计数器可突破恒定时间与置信度遮蔽防御。
Paper analysisRead analysis
AttacksarXiv 2610.06670Oct 6
研究者提出 Reward Stealing Attack，从对齐模型行为反推安全奖励实施攻击
提出 ReSA，从对齐模型行为恢复安全奖励并在解码时反转
arXiv
2610.06670
Published
Oct 6
Layer
Model layer
Setting
Models and APIs
Attacker
White-box, Gray-box
Evaluated models
Llama3.1-8B-Instruct, Gemma-7B-Instruct, Qwen2.5-7B-Instruct and others9
- AttacksJailbreaks
- TechniqueDefense-targeted
AbstractReSA 用最大熵 IRL 从对齐模型行为恢复代理安全奖励，并在解码时反转以诱导有害输出。
ReSA 是一种对抗攻击：从对齐模型的可观察行为恢复代理安全奖励，再在解码时把该奖励反过来用。。
Paper analysisRead analysis
AttacksarXiv 2610.05894Oct 5
研究者提出闭环偏见注入攻击
提出闭环激活引导，在扩散语言模型去噪过程中注入定向偏见
arXiv
2610.05894
Published
Oct 5
Layer
Model layer
Setting
Models and APIs
Attacker
Gray-box
Evaluated models
LLaDA-8B-Instruct, Dream-v0-Instruct-7B, LLaDA-MoE-7B-A1B-Instruct
- AttacksModel tampering
- TechniqueGradient and representation optimization
Abstract通过去噪中间概率反馈动态调节残差流转向，证明扩散语言模型在推理服务栈中存在闭环偏见注入脆弱性。
Paper analysisRead analysis
AttacksarXiv 2610.05282Oct 4
Red-TTT：用测试时训练实现大语言模型自动化越狱
提出 Red-TTT，在攻击过程中更新攻击者实现自动化越狱
arXiv
2610.05282
Published
Oct 4
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
Llama-3-8B-Instruct, gpt-oss-20b, gpt-4.1-mini and others4
- AttacksJailbreaks
- TechniqueAutomated search
Paper analysisRead analysis
AttacksarXiv 2610.04985Oct 4
研究揭示 Jev 作为应用决策层的安全与隐私风险
评估应用决策层的输入注入与隐私推断风险
arXiv
2610.04985
Published
Oct 4
Layer
Application layer
Setting
LLM applications
Attacker
Black-box, Gray-box
Evaluated models
Jev, NanoJev
- AttacksPrompt injection
- TechniqueRole-play and persuasion
AbstractJev 的类型化决策可被输入与训练操纵，也会泄露信息，并同时支持检测与滥用。
Jev 是 TypeSafe 的 System One 模型，把应用 state 和固定问题变成 Choice、Noul 或 Score 的类型化决策与概率。作者用官方 API 和可改训练的 NanoJev，考察它作为决策层时的操纵、泄露与双重用途。
Paper analysisRead analysis
AttacksarXiv 2610.02432Oct 2
论文提出 LLM 输入扰动鲁棒性度量，并发布 ASA 攻击与 AttestMCP 防护
提出 ASA 与 AttestMCP，度量并降低 LLM 对输入序列扰动的敏感
arXiv
2610.02432
Published
Oct 2
Layer
Application layer
Setting
LLM applications, AI Agent
Attacker
Black-box
Evaluated models
Gemma-3-27B-Instruct, Gemma-3-4B-Instruct, Llama-3.2-3B-Instruct and others12
- DefensesDetection and filtering
- AttacksDetection evasion
- ComponentGuardrails and judges
Paper analysisRead analysis
AttacksarXiv 2610.03124Oct 2
研究提出 Untag 攻击框架，使开源大模型触发标签滥用检测机制失效
提出 UNTAG，绕过开源权重模型的 trigger-tag 滥用检测
arXiv
2610.03124
Published
Oct 2
Layer
Model layer
Setting
Models and APIs
Attacker
Black-box, White-box
Evaluated models
Llama2 (7B), Llama3 (8B), Qwen2.5 (7B)
- AttacksDetection evasion
- TechniqueDefense-targeted
- ComponentFine-tuning and open weights
Abstract作者用 UNTAG 评估 trigger-tag，认为其不能充当开放权重滥用检测的主要边界。
UNTAG 是针对开放权重 LLM 上条件滥用检测 trigger-tag 的统一攻击评估：信号可以在解码期注入，也可以写进权重，但攻击者若能改输出或改已发布权重，检测可以失效。
Paper analysisRead analysis
AttacksarXiv 2610.01871Oct 1
研究者提出 IMMRAG 攻击，可从多模态 RAG 数据存储中提取医学与文档图像
提出 imMRAG 攻击，从多模态 RAG 私有图像库提取内容
arXiv
2610.01871
Published
Oct 1
Layer
Application layer
Setting
LLM applications
Attacker
Black-box
Evaluated models
Lumina-mGPT, Gemini 2.5 Flash Image Preview, CLIP ViT-B/16 and others5
- AttacksExtraction and theft
- TechniqueCross-modal payloads
- ComponentRAG
Paper analysisRead analysis
AttacksarXiv 2610.01365Oct 1
ReGap：无需真实隐私数据即可通过微调重新提取模型隐私关联
提出 ReGap，用自生成伪监督微调恢复模型中的隐私关联
arXiv
2610.01365
Published
Oct 1
Layer
Training and data layer
Setting
Models and APIs
Attacker
White-box, Gray-box
Evaluated models
GPT-2 Small, GPT-2 Medium, GPT-2 Large and others6
- AttacksExtraction and theft
- ComponentFine-tuning and open weights
Abstract提出无真实私有监督的恢复攻击 ReGap，实验显示微调可通过自生成数据唤醒模型潜在隐私关联，突显后适应隐私风险。
Paper analysisRead analysis
AttacksarXiv 2609.39902Sep 30
CodeMimicry: Exploiting code-domain safety generalization lag for structured code completion jailbreaks.
提出 CodeMimicry，以结构化代码补全诱导模型生成有害内容
arXiv
2609.39902
Published
Sep 30
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
GPT-4o, GPT-4.1, GPT-5-chat and others10
- AttacksJailbreaks
- TechniqueEncoding and obfuscation
Paper analysisRead analysis
AttacksarXiv 2609.38899Sep 30
SceneJail: Jailbreaking multimodal large models using video scene context
提出 SceneJail，利用视频情境上下文越狱视频多模态模型
arXiv
2609.38899
Published
Sep 30
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
Qwen2.5-VL-7B-Instruct, Qwen2.5-VL-32B-Instruct, Qwen3-VL-8B-Instruct and others8
- AttacksJailbreaks
- TechniqueCross-modal payloads
- ComponentVideo
Paper analysisRead analysis
AttacksarXiv 2609.38253Sep 29
CollageAttack: Exploiting cross-modal alignment defects for spatial text composition jailbreaks against T2I models.
提出 CollageAttack，用空间文本碎片重组越狱文生图模型
arXiv
2609.38253
Published
Sep 29
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
GPT-Image-2, Doubao-Seedream-5.0-Lite, Wan2.7-Image-Pro and others5
- AttacksJailbreaks
- TechniqueEncoding and obfuscation
- ComponentImage generation
Abstract系统揭示 T2I 跨模态空间合成安全漏洞，证实离散无害元素可在图像层面重构有害意图并放大传播强度。
Paper analysisRead analysis
AttacksarXiv 2609.36956Sep 29
研究者提出 Controlled Decoding Attacks，通过纯文本接口越狱黑盒 LLM
提出 BLINDBIAS，通过纯文本续写与前缀控制越狱黑盒模型
arXiv
2609.36956
Published
Sep 29
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
GLM-5, Gemini-3.5-Flash, Qwen3-32B and others4
- AttacksJailbreaks
- TechniqueConversation structure manipulation
Abstract作者认为，隐藏数值概率并不足以消除支持重复采样和前缀续写的解码攻击面。
BLINDBIAS 是一种针对 sample-only 续写接口的 black-box 解码时越狱框架，研究没有目标数值概率时，采样能否支持逐步控制。
Paper analysisRead analysis
AttacksarXiv 2609.36941Sep 29
研究者提出针对黑盒 LLM 的实用密钥提取框架
提出用扰动蒸馏本地代理并离线过滤来提取黑盒模型凭据
arXiv
2609.36941
Published
Sep 29
Layer
Model layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
DeepSeek-Coder-7B, LLaMA-3-8B, Qwen2.5-Coder-7B and others6
- AttacksExtraction and theft
Abstract论文提出扰动蒸馏与离线过滤两阶段框架，实现了 output-only 访问下延迟降低的黑盒大模型 API key 提取。
Paper analysisRead analysis
AttacksarXiv 2609.36474Sep 29
FinRT：将自适应红队策略蒸馏为消费金融领域的可复用对抗生成器
提出 FinRT，将消费金融自适应红队轨迹蒸馏为可复用对抗提示生成器
arXiv
2609.36474
Published
Sep 29
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
Llama-3.3-70B, Llama-3.1-8B, Mixtral-8x7B and others6
- AttacksJailbreaks
- TechniqueAutomated search
AbstractFinRT 用前向失效发现加校准代理 DPO，把消费金融红队收成单次前向生成器。
FinRT 是面向消费金融的红队框架：先发现政策失效，再训练一个按政策、领域与目标行为出提示的生成器。
Paper analysisRead analysis
AttacksarXiv 2609.36331Sep 29
无需参考模型：用邻居样本校准单轮成员推理攻击
提出用邻居分数替代参考模型的单轮成员推断
arXiv
2609.36331
Published
Sep 29
Layer
Model layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
目标分类模型（架构与训练流程遵循 Aerni et al.）
- AttacksExtraction and theft
Abstract邻居查询在单模型上恢复逐样本校准，合成邻居加早期检查点最接近 LiRA。
本文研究 one-round 成员推断：只有一个目标模型、不能再训练参考模型时，如何仍做逐样本校准，并用于单次运行的 DP 审计。
Paper analysisRead analysis

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Defense type

Impact

System type

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Layer

System component

The paper proposes an option channel attack: changing one option label can make an agent guardrail allow a prohibited operation

EpiReal-Bench：商用图像生成模型虚假声明红队基准

BRANCH 方法绕过 6 套多扫描器护栏系统

ATLAS：用自适应信任域与主动学习搜索潜在对抗样本集

TranScope：利用 CPU 性能计数器对 Transformer 做成员推断攻击

研究者提出 Reward Stealing Attack，从对齐模型行为反推安全奖励实施攻击

研究者提出闭环偏见注入攻击

Red-TTT：用测试时训练实现大语言模型自动化越狱

研究揭示 Jev 作为应用决策层的安全与隐私风险

论文提出 LLM 输入扰动鲁棒性度量，并发布 ASA 攻击与 AttestMCP 防护

研究提出 Untag 攻击框架，使开源大模型触发标签滥用检测机制失效

研究者提出 IMMRAG 攻击，可从多模态 RAG 数据存储中提取医学与文档图像

ReGap：无需真实隐私数据即可通过微调重新提取模型隐私关联

CodeMimicry: Exploiting code-domain safety generalization lag for structured code completion jailbreaks.

SceneJail: Jailbreaking multimodal large models using video scene context

CollageAttack: Exploiting cross-modal alignment defects for spatial text composition jailbreaks against T2I models.

研究者提出 Controlled Decoding Attacks，通过纯文本接口越狱黑盒 LLM

研究者提出针对黑盒 LLM 的实用密钥提取框架

FinRT：将自适应红队策略蒸馏为消费金融领域的可复用对抗生成器

无需参考模型：用邻居样本校准单轮成员推理攻击