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Attack technique：Gradient and representation optimization Attack technique：Multi-turn escalation System type：Models and APIs System type：AI Agent System type：coding agent Layer：Prompt layer Clear all

Another 227papers do not have category tags yet and are not included in filtered results.

AttacksarXiv 2610.09708Oct 7
研究者提出利用祖先 VLM 的黑盒对抗补丁攻击，可降低 VLA 任务成功率
提出利用祖先 VLM 优化对抗补丁，使已部署 VLA 任务失败
arXiv
2610.09708
Published
Oct 7
Layer
Prompt layer
Setting
Embodied systems and robotics
Evaluated models
OpenVLA, UniVLA, π0.5
- TechniqueGradient and representation optimization
- ComponentVision
Paper analysisRead analysis
AttacksarXiv 2610.08331Oct 6
STCA：研究者提出针对自动驾驶视频 VLM 的时空一致性对抗攻击
提出 STCA，对驾驶视频 VLM 构造可迁移的时空对抗扰动
arXiv
2610.08331
Published
Oct 6
Layer
Prompt layer
Setting
Models and APIs
Attacker
No-box (offline transfer)
Evaluated models
Video-LLaVA-7B, Qwen2.5-VL-7B, Dolphins
- AttacksDetection evasion
- TechniqueGradient and representation optimization
- ComponentVideo
Paper analysisRead analysis
AttacksarXiv 2610.06814Oct 6
TAPDreamer：可跨任务迁移的世界动作模型对抗补丁
TAPDreamer 用公开编码器做固定补丁。
arXiv
2610.06814
Published
Oct 6
Layer
Prompt layer
Setting
Embodied systems and robotics
Evaluated models
FastWAM, DreamWAM-uncond, DreamWAM-joint and others4
- TechniqueGradient and representation optimization
- ComponentVision
Paper analysisRead analysis
AttacksarXiv 2610.06977Oct 4
IAU-FOA：面向闭源多模态大模型的可迁移对抗攻击方法
提出 IAU-FOA，构造可迁移图像扰动以诱导多模态模型输出目标语义
arXiv
2610.06977
Published
Oct 4
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
Qwen2.5-VL-7B, Qwen2.5-VL-72B, InternVL3-14B and others17
- TechniqueGradient and representation optimization
- ComponentVision
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
InterpretabilityarXiv 2609.24801Sep 22
研究用 XAI 归因分析 Prompt Guard 2，同义词替换可翻转其提示注入判定
用词级归因指导同义词替换，翻转提示注入检测并验证越狱
arXiv
2609.24801
Published
Sep 22
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
Prompt Guard 2 (86M), Llama 3.1 8B
- DefensesDetection and filtering
- AttacksDetection evasion
- TechniqueGradient and representation optimization
- ComponentGuardrails and judges
Abstract作者称检测靠分散的词法线索。
Paper analysisRead analysis
AttacksarXiv 2609.03247Sep 3
研究揭示大语言模型的自发身份认证失败：五款模型的分阶段开发者身份实验
提出 MIPC 与 CFA，观察模型自拟测验后接受开发者身份
arXiv
2609.03247
Published
Sep 3
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
ChatGPT, Claude, Qwen3.7-Plus and others5
- AttacksJailbreaks
- TechniqueMulti-turn escalation
Abstract自拟测验可造成对话层虚假认证，但所测授权边界并未因此改变。
这项工作把“模型自己出题、自己批改、再宣布身份已核验”定义成对话层认证失败，并与后端提权分开。
Paper analysisRead analysis
AttacksarXiv 2609.02414Sep 2
Blueprint 框架用世界观模拟与 18 个影响因子提升多轮越狱成功率
提出多轮越狱框架 BLUEPRINT，用世界观模拟与心理因素诱导有害输出
arXiv
2609.02414
Published
Sep 2
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
Qwen3-Next-80B, DeepSeek-V3.2, GLM-4.7 and others6
- AttacksJailbreaks
- TechniqueMulti-turn escalation
AbstractBLUEPRINT 解耦多轮越狱策略与情境模拟，揭示任务具象化是摆脱拒绝的核心机制，为多轮安全防御提供新视角。
BLUEPRINT 是一个将因子化社会影响力策略空间与跨轮世界观模拟解耦的多轮大语言模型安全评测框架。
Paper analysisRead analysis
AttacksarXiv 2609.02172Sep 2
BOSS：以广度优先后缀搜索改进 GCG 越狱优化
提出广度优先后缀搜索 BOSS，改进 GCG 越狱优化
arXiv
2609.02172
Published
Sep 2
Layer
Prompt layer
Setting
Models and APIs
Attacker
White-box
Evaluated models
Llama-2-7B-Chat, Yi-1.5-9B-Chat, Qwen2-7B-Instruct and others8
- AttacksJailbreaks
- TechniqueGradient and representation optimization
AbstractBOSS 把 GCG 类优化从单条深搜索改为多条短轨迹加源侧诊断。
BOSS 是插在 GCG 类离散 suffix 优化上的搜索框架：局部梯度更新不变，变的是固定预算花在深度还是广度。
Paper analysisRead analysis
AttacksarXiv 2609.05525Sep 2
DIVA：针对离散扩散视觉语言模型的跨步条件传播视觉越狱
提出 DIVA，利用跨步条件传播对离散扩散视觉语言模型实施视觉越狱
arXiv
2609.05525
Published
Sep 2
Layer
Prompt layer
Setting
Models and APIs
Attacker
White-box
Evaluated models
LLaDA-V, MMaDA, LLaDA2.0-Uni
- AttacksJailbreaks
- TechniqueGradient and representation optimization
- ComponentVision
Paper analysisRead analysis
AttacksarXiv 2608.10393Aug 11
DURA：用扩散模型生成自然对抗补丁攻击 VLA 机器人模型
提出 DURA，用扩散模型生成自然对抗补丁操控 VLA 机器人动作
arXiv
2608.10393
Published
Aug 11
Layer
Prompt layer
Setting
Embodied systems and robotics
Evaluated models
OpenVLA-7B, π0-FAST, openvla-7B
- TechniqueCross-modal payloads
- ComponentVision
AbstractDURA 用扩散潜空间轨迹生成自然补丁，白盒与黑盒都能把 VLA 导向指定动作。
DURA 是针对 VLA 的扩散式、补丁内容不受限的机器人攻击，同时支持白盒梯度和只看动作输出的黑盒。
Paper analysisRead analysis
AttacksarXiv 2608.07430Aug 8
研究者提出 SN-Guided Diffusion，利用扩散大模型安全神经元实现离线越狱
提出 SN-Guided Diffusion，利用安全神经元实现离线越狱
arXiv
2608.07430
Published
Aug 8
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box, White-box
Evaluated models
Qwen2.5-7B-Instruct, LLaDA-8B-Instruct, Dream-Instruct-7B and others15
- AttacksJailbreaks
- TechniqueGradient and representation optimization
Abstract论文揭示了扩散语言模型对自回归安全神经元的继承性，并提出纯离线黑盒越狱框架 SN-Guided Diffusion。
论文系统评估了扩散大语言模型（DLLM）在安全对齐中的双重角色——既作为白盒攻击目标，又作为黑盒越狱生成的对抗工具。
Paper analysisRead analysis
OtherarXiv 2608.01117Aug 2
SoK 论文提出面向意图的多轮 LLM 越狱分类体系
提出面向意图的多轮 LLM 越狱分类体系
arXiv
2608.01117
Published
Aug 2
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
Llama-3, Llama-3.3-70B, DeepSeek-V3 and others11
- AttacksJailbreaks
- TechniqueMulti-turn escalation
Abstract作者用四维意图分类整理多轮越狱，并称组织方式影响效果与观察范围。
这是一篇关于多轮 LLM 越狱的 SoK：按有害意图在交互中的组织位置分类，而不是按单步提示技巧分类。
Paper analysisRead analysis
AttacksarXiv 2607.23496Jul 26
Concept2Scenario：用 SAE 概念归因发现可迁移的越狱场景
提出 Concept2Scenario，借助内部概念归因发现可迁移的越狱场景
arXiv
2607.23496
Published
Jul 26
Layer
Prompt layer
Setting
Models and APIs
Attacker
White-box, Black-box
Evaluated models
Qwen3.5-9B, Llama-3.1-8B, Ministral-3-8B and others6
- AttacksJailbreaks
- TechniqueGradient and representation optimization
Abstract该研究从表征空间因果归因揭示场景削弱拒绝的机制，发现可复用脆弱场景先验，提升多模型黑盒越狱效能与探索速度。
Paper analysisRead analysis
Evaluation and benchmarksarXiv 2607.19855Jul 22
研究者提出最小范数攻击集成，用鲁棒性曲线替代单一 ε 评测
提出最小范数攻击集成，用鲁棒性曲线评测图像分类器
arXiv
2607.19855
Published
Jul 22
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
C1–C20（CIFAR-10，Table 1）, I1–I10（ImageNet，Table 1）
- AttacksDetection evasion
- TechniqueGradient and representation optimization
Abstract预算可控的最小范数集成用 AOI 逼近攻击前沿，DOI 给出不依赖单一ε的防御排序。
这篇工作把对抗鲁棒评测从单一 ε、固定集成，改成可按查询预算收紧的曲线估计。
Paper analysisRead analysis
AttacksarXiv 2607.18056Jul 20
上海 AI 实验室提出 Intern-BioBreaker，在 14 个前沿模型上暴露生物安全越狱风险
提出生物红队模型 Intern-BioBreaker，多轮越狱诱导模型输出可操作生物危害
arXiv
2607.18056
Published
Jul 20
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
DeepSeek-V3, Kimi-K2.6, DeepSeek-V4-Pro and others14
- AttacksJailbreaks
- TechniqueAutomated search
Abstract论文通过构建专用红队模型评估前沿大模型的生物安全漏洞与物理转化风险。
Paper analysisRead analysis
AttacksarXiv 2607.00481Jul 1
研究者提出 SMT 框架，通过模拟审核轨迹越狱函数调用 LLM
提出 SMT 框架，用模拟审核轨迹越狱函数调用 LLM
arXiv
2607.00481
Published
Jul 1
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box, White-box
Evaluated models
GPT-4o, GPT-5.4, Qwen3-Max and others7
- AttacksJailbreaks
- TechniqueMulti-turn escalation
Paper analysisRead analysis
AttacksarXiv 2606.09701Jun 9
研究者提出 AdvGRPO 框架，用 GRPO 协同训练语言模型攻击者与防御者
提出 AdvGRPO，用 GRPO 闭环共训多轮越狱攻击者与防御者
arXiv
2606.09701
Published
Jun 9
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
Qwen2.5-7B-Instruct, Qwen2.5-14B-Instruct, Qwen3.5-9B and others7
- AttacksJailbreaks
- TechniqueAutomated search
Paper analysisRead analysis
AttacksarXiv 2606.05609Jun 4
SlotGCG 利用提示词位置漏洞提升 LLM 越狱攻击成功率
提出 SlotGCG，按注意力选槽插入对抗 token 以越狱指令模型
arXiv
2606.05609
Published
Jun 4
Layer
Prompt layer
Setting
Models and APIs
Attacker
White-box
Evaluated models
LLAMA2-7B-CHAT, LLAMA2-13B-CHAT, LLAMA-3.1-8B-INSTRUCT and others10
- AttacksJailbreaks
- TechniqueGradient and representation optimization
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

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