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Oct 12 · Monday

All papers

Found 127 papers

Filter3

System type

Models and APIs108 LLM applications9 AI Agent10

Attacker access

Black-box127 Gray-box9 White-box43 No-box (offline transfer)3

Attack surface / entry point

User input115 Tool responses4 Images, audio and video31 Training data4 Weights and gradients4 Inference services and hardware3

Layer

Prompt layer88 Model layer11 Application layer17 Training and data layer9

System component

RAG5 Guardrails and judges27 Reasoning chains7 Fine-tuning and open weights3 Vision21 Audio7 Image generation13 Embeddings3 Multimodal41

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Impact：Harmful content Impact：Data and privacy leaks Attacker access：Black-box Clear all

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DefensesarXiv 2610.13733Oct 9
KVeil: First-Place Solution for the ECCV 2026 LifeGenIP Unlearnable Video Challenge
Propose KVeil, which adds perturbations to face videos to prevent unauthorized customization from reproducing identity
arXiv
2610.13733
Published
Oct 9
Layer
Prompt layer
Setting
Models and APIs
Attacker
White-box, Black-box
Evaluated models
Wan2.2-TI2V-5B, HunyuanVideo-1.5, Kling 3.0 and others4
- AttacksMalicious use
- ComponentImage generation
AbstractKVeil adapts LETHE's reference-reading disruption to the challenge's two stages, ranking first on the leaderboard in both Final columns.
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
DefensesarXiv 2610.10345Oct 8
SLDR：通过选择性层恢复与动态路由防御恶意微调
提出 SLDR，用选择性层恢复与动态路由防御恶意微调
arXiv
2610.10345
Published
Oct 8
Layer
Training and data layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
Llama3.1-8B-Instruct, Llama3-8B-Instruct, Qwen2.5-7B-Instruct and others4
- DefensesModel hardening
- AttacksModel tampering
- ComponentFine-tuning and open weights
Abstract作者称 SLDR 能压低有害输出并保持下游效用。
SLDR 是针对恶意微调的微调后防御：在已对齐模型上做有符号层探测，只在敏感分数最大与最小的两层训练 LoRA，再用 lmax 的最后 token 表示决定是否启用适配器。
Paper analysisRead analysis
DefensesarXiv 2610.09703Oct 7
研究揭示 Token-Pruning 对 VLM 安全性的影响并提出 SAP 缓解机制
提出 Safety-Aware Pruning，缓解视觉 token 剪枝放大的多模态越狱
arXiv
2610.09703
Published
Oct 7
Layer
Model layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
LLaVA-1.5-7B
- DefensesInference-time intervention
- AttacksJailbreaks
- ComponentVision
Abstract剪枝去掉背景 token 后注意力塌向恶意前景。
这篇工作评估视觉 token 剪枝如何改变 VLM 在多模态越狱下的行为，并给出推理时防御 SAP。
Paper analysisRead analysis
DefensesarXiv 2610.08678Oct 7
研究揭示投机解码的安全代价并提出 SecureSD 加固方法
测量有损投机解码的安全代价，并提出 SecureSD 收紧早期验证
arXiv
2610.08678
Published
Oct 7
Layer
Model layer
Setting
AI Agent
Attacker
Black-box
Evaluated models
Qwen3-8B, Qwen3-32B, Llama-3.1-8B-Instruct and others6
- DefensesInference-time intervention
- AttacksJailbreaks
Abstract有损推测解码的早期偏离更快抬高越狱与注入风险。
作者研究有损推测解码在换取速度时，是否会比效用更快地损害越狱与提示注入防护，并给出按位置校正的 SecureSD。
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
DefensesarXiv 2610.05401Oct 5
AVCE：面向扩散模型可验证概念擦除的审计感知遗忘框架
提出审计感知遗忘框架 AVCE，从文本与视觉通路擦除扩散模型概念
arXiv
2610.05401
Published
Oct 5
Layer
Training and data layer
Setting
Models and APIs
Attacker
White-box, Black-box
Evaluated models
Stable Diffusion XL (SDXL), Stable Diffusion v1.5 (SD v1.5), Flux 1.0
- DefensesModel hardening
- AttacksJailbreaks
- ComponentImage generation
AbstractAVCE 在审计锚点上改两条注意力通路。
AVCE 是面向扩散模型的概念擦除方法，要让擦除经得起绕过文本条件的潜空间审计，而不只是挡住对抗提示词。
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
DefensesarXiv 2610.04467Oct 3
无需目标答案的潜在空间安全对齐：无监督对抗训练提升 LLM 越狱鲁棒性
提出 Target-free LAT，用无目标多方向潜干预做对抗安全对齐以抵御越狱
arXiv
2610.04467
Published
Oct 3
Layer
Training and data layer
Setting
Models and APIs
Attacker
White-box, Black-box
Evaluated models
Qwen2.5-7B-Instruct, Llama-3-8B-Instruct, Mistral-7B-Instruct-v0.2
- DefensesModel hardening
- AttacksJailbreaks
AbstractTarget-free LAT 用无目标多方向潜干预扩大行为覆盖，作者称能提高越狱鲁棒性并保住效用。
Target-free LAT 是一种不监督有害输出的潜空间对抗对齐。它要处理的问题是：现有 LAT 每步大多只造一种有害行为，对不上真实越狱里的直接遵从、角色扮演、编码和多语言等模式。
Paper analysisRead analysis
DefensesarXiv 2610.03434Oct 2
Persona Guardrail：面向智能体系统的生产级防御框架
提出 Persona Guardrail，强制客服智能体守住功能边界
arXiv
2610.03434
Published
Oct 2
Layer
Application layer
Setting
AI Agent
Attacker
Black-box
Evaluated models
Qwen3-30B-A3B, Qwen3-VL-30B, Qwen3-8B and others5
- DefensesDetection and filtering
- AttacksJailbreaks
- ComponentGuardrails and judges
AbstractPersona Guardrail 用功能边界做同步输入输出校验，并在 PAGE 与生产延迟预算下给出评测。
Persona Guardrail 是客服向智能体的同步运行时防御：先写明功能边界，再决定放行或拦截，而不是只检测某一攻击类。
Paper analysisRead analysis
DefensesarXiv 2610.02853Oct 2
研究提出基于收缩约束状态空间模型的有界可达性与越狱检测方法
提出收缩约束 SSM 安全头，认证嵌入扰动并检测越狱
arXiv
2610.02853
Published
Oct 2
Layer
Prompt layer
Setting
Models and APIs
Attacker
White-box, Black-box
Evaluated models
ToySSMClassifier, S4 safety head
- DefensesDetection and filtering
- AttacksJailbreaks
- ComponentGuardrails and judges
Abstract收缩给出玩具 LTI 的有界认证。
给 SSM 安全头一个收缩条件，并在越狱检测上使用收缩正则的 S4 头。。
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
DefensesarXiv 2610.02418Oct 1
Whiteout：用混淆样本阻止 LLM 泄露个人敏感信息
提出 Whiteout，用伪装样本微调覆盖个人敏感信息关联
arXiv
2610.02418
Published
Oct 1
Layer
Training and data layer
Setting
Models and APIs
Attacker
Black-box, White-box
Evaluated models
Llama 3.2, Phi-3-mini, Gemma 3 and others7
- DefensesModel hardening
- AttacksExtraction and theft
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

Attacker access

Attack surface / entry point

Layer

System component

KVeil: First-Place Solution for the ECCV 2026 LifeGenIP Unlearnable Video Challenge

BRANCH 方法绕过 6 套多扫描器护栏系统

SLDR：通过选择性层恢复与动态路由防御恶意微调

研究揭示 Token-Pruning 对 VLM 安全性的影响并提出 SAP 缓解机制

研究揭示投机解码的安全代价并提出 SecureSD 加固方法

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

AVCE：面向扩散模型可验证概念擦除的审计感知遗忘框架

Red-TTT：用测试时训练实现大语言模型自动化越狱

无需目标答案的潜在空间安全对齐：无监督对抗训练提升 LLM 越狱鲁棒性

Persona Guardrail：面向智能体系统的生产级防御框架

研究提出基于收缩约束状态空间模型的有界可达性与越狱检测方法

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

Whiteout：用混淆样本阻止 LLM 泄露个人敏感信息

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