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Attack type：Jailbreaks Attack technique：Encoding and obfuscation Attack technique：Selection manipulation System type：Models and APIs System type：coding agent Clear all

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Evaluation and benchmarksarXiv 2610.11766Oct 8
研究提出意图恢复率作为 LLM 安全评测的补充指标
提出 IRIS，用意图恢复率区分遮蔽越狱下无害输出的原因
arXiv
2610.11766
Published
Oct 8
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
GPT-4o, Claude Sonnet 4.5, Claude Opus 4.5 and others6
- AttacksJailbreaks
- TechniqueEncoding and obfuscation
Abstract无害输出的证据权重取决于任务是否被恢复。
IRIS 把意图恢复当作中间信号，用来解释意图遮蔽提示下为何没有出现有害协助。
Paper analysisRead analysis
Evaluation and benchmarksarXiv 2610.09033Oct 7
研究发布 ASRD 数据集，评测五款开源模型在非规范输入下的安全表现
arXiv
2610.09033
Published
Oct 7
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
Gemma 2 9B, Gemma 3 4B, Llama 3.1 8B and others6
- AttacksJailbreaks
- TechniqueEncoding and obfuscation
Abstract五模型、七族表面形式的四态评测里，低有害遵从不等于读懂后的安全处理。
ASRD 用四态标签检查五个开源模型如何处理非规范表面上的有害请求。
Paper analysisRead analysis
AttacksarXiv 2610.02302Oct 2
研究者提出意图隐藏越狱的信息论框架，分析组合式攻击
提出组合式意图隐藏越狱，按先验后验匹配选择辅助任务
arXiv
2610.02302
Published
Oct 2
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
Qwen3-1.7B, Qwen3-4B, Qwen3-8B and others7
- AttacksJailbreaks
- TechniqueEncoding and obfuscation
Abstract用信息论选含目标的任务组合，再看查询能否既隐藏意图又让目标被执行。
这篇工作把组合式意图隐藏写成任务选择：有害目标必须留在 bundle 里，同时让估计的有害意图概率贴近全集先验，或降到阈值以下。
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 2609.38253Sep 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 2609.09553Sep 9
研究：任意密文攻击前沿大模型无需微调即可越狱
提出任意字母置换密码越狱，无需微调即可诱导有害输出
arXiv
2609.09553
Published
Sep 9
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
Claude Sonnet 4, Claude Sonnet 4.5, Gemini 3 Flash (preview) and others7
- AttacksJailbreaks
- TechniqueEncoding and obfuscation
- ComponentGuardrails and judges
Abstract前沿大模型无需微调即可通过提示词学会字母置换密码，进而绕过分类器与对齐，作者呼吁关注能力提升带来的安全风险。
Paper analysisRead analysis
AttacksarXiv 2609.07216Sep 7
DIVA：利用视觉锚点对视频生成模型实施多模态越狱
提出 DIVA，将有害意图拆成视觉锚点与运动文本以越狱视频生成模型
arXiv
2609.07216
Published
Sep 7
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
Wan, CogVideoX, LTX-Video and others9
- AttacksJailbreaks
- TechniqueCross-modal payloads
- ComponentImage generation
AbstractDIVA 用视觉锚点抑制语义漂移做视频越狱，并给出多条件安全基准 TI2VSafetyBench。
DIVA 是针对带参考图的视频生成模型的免训练 black-box 越狱：用一致性机制本身堵住语义漂移这条安全逃逸路径。。
Paper analysisRead analysis
AttacksarXiv 2608.04034Aug 3
HACA：原子越狱策略解耦组合的多模态自动红队方法
提出 HACA，将图文越狱拆为原子策略并自动组合以诱导有害输出
arXiv
2608.04034
Published
Aug 3
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
LLaVA-1.6-Mistral-7B, InternVL-3.5-8B, VLGuard (LLaVA-v1.5-7B-Mixed) and others5
- AttacksJailbreaks
- TechniqueCross-modal payloads
- ComponentVision
Paper analysisRead analysis
AttacksarXiv 2607.27373Jul 30
RoguePrompt 用双层编码绕过 LLM 审核
提出 RoguePrompt 双层编码自重构越狱，绕过 LLM 审核
arXiv
2607.27373
Published
Jul 30
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
OpenAI GPT-4o (gpt-4o-2024-11-20), Anthropic Claude 3 Opus (claude-3-opus-20240229), Google Gemini 1.5 Pro (gemini-1.5-pro-002)
- AttacksJailbreaks
- TechniqueEncoding and obfuscation
- ComponentGuardrails and judges
Paper analysisRead analysis
Evaluation and benchmarksarXiv 2606.29602Jun 29
六款主流 LLM 在多语言与混淆提示注入攻击下的实证评估
评测多语言与编码混淆提示下模型生成钓鱼与键盘记录内容的遵从
arXiv
2606.29602
Published
Jun 29
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
DeepSeek-V3.2, Gemini 2.5 Flash, GPT-5 Mini and others6
- AttacksJailbreaks
- TechniqueEncoding and obfuscation
Paper analysisRead analysis
AttacksarXiv 2606.21077Jun 19
OTTER：仅替换五个 token 即可绕过 GPT 系列毒性审核
提出 OTTER 词元替换越狱，绕过表面毒性审核诱导有害回答
arXiv
2606.21077
Published
Jun 19
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
gpt-4-turbo, gpt-4o, gpt-4o-mini and others4
- AttacksJailbreaks
- TechniqueEncoding and obfuscation
- ComponentGuardrails and judges
Abstract论文展示了表面毒性与恶意意图的解耦现象，通过标准 API 实现黑盒越狱测试，并提出闭环分类器加固建议。
Paper analysisRead analysis
AttacksarXiv 2606.11425Jun 10
JailbreakOPT：工具辅助的迭代越狱提示词优化框架
提出 JailbreakOPT，组合原子工具迭代优化黑盒单轮越狱提示
arXiv
2606.11425
Published
Jun 10
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
Vicuna-13b-v1.5, LLaMA-3-8b, GPT-4o and others8
- AttacksJailbreaks
- TechniqueAutomated search
Paper analysisRead analysis
Evaluation and benchmarksarXiv 2606.06037Jun 4
SpeechJBB：语码转换语音下大型音频语言模型的越狱基准
提出 SpeechJBB，评测语码转换语音下音频语言模型的越狱稳健性
arXiv
2606.06037
Published
Jun 4
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
Qwen2.5-Omni-7B, Qwen3-Omni-30B-A3B-Instruct, Voxtral-Small-24B and others9
- AttacksJailbreaks
- TechniqueEncoding and obfuscation
- ComponentAudio
AbstractSpeechJBB 用五语语码转换语音和伪词探针评测九个 LALM，作者将越狱归为对齐失败而非听不懂。
SpeechJBB 用合成语音测量 LALM 在五语、语码转换和局部伪词混淆下的安全对齐，并另设口语理解对照。
Paper analysisRead analysis
AttacksarXiv 2606.01837Jun 1
论文提出 DSR 跨模态越狱框架：用良性输入诱导 MLLM 有害输出
提出 DSR 跨模态越狱，用无害图文诱导 MLLM 生成有害图像
arXiv
2606.01837
Published
Jun 1
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
gemini-2.5-flash-image, qwen-image-2.0, Tongyi Wanx 2.5
- AttacksJailbreaks
- TechniqueCross-modal payloads
- ComponentImage generation
AbstractDSR 用无害图文诱导商业 MLLM 输出有害图像，作者称组合能力会反过来扩大攻击面。
DSR 是一种 black-box 跨模态越狱：输入侧不放显式有害内容，而让商业 MLLM 在推理中把无害图文重组成有害图像。
Paper analysisRead analysis
AttacksarXiv 2605.17971May 18
Babel 利用混淆分布采样越狱 LLM 安全注意力
提出 Babel 混淆分布采样，黑盒越狱闭源 LLM 安全注意力
arXiv
2605.17971
Published
May 18
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
gpt-4o-2024-11-20, Gemini-2.0-flash, Claude-3-5-haiku-20241120 and others4
- AttacksJailbreaks
- TechniqueEncoding and obfuscation
Paper analysisRead analysis
AttacksarXiv 2605.18915May 18
DMN：面向多图输入的多模态大模型组合式越狱框架
提出多图越狱框架 DMN，把有害意图拆进图像序列绕过安全护栏
arXiv
2605.18915
Published
May 18
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
GPT-4V, GPT-4o, GPT-5 and others10
- AttacksJailbreaks
- TechniqueCross-modal payloads
- ComponentVision
Paper analysisRead analysis
AttacksarXiv 2605.05709May 7
研究者提出利用重构与隐藏权衡的多模态大模型越狱方法
提出删字变体越狱方法，利用重构与隐藏权衡绕过多模态模型安全过滤
arXiv
2605.05709
Published
May 7
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
GPT-5.4-nano, GPT-5.4-mini, Gemini-2.5-Flash and others19
- AttacksJailbreaks
- TechniqueEncoding and obfuscation
- ComponentVision
Paper analysisRead analysis
AttacksarXiv 2605.03441May 5
研究用数学编码绕过 LLM 安全过滤
提出 Formal Logic 等数学编码越狱，绕过自然语言安全过滤
arXiv
2605.03441
Published
May 5
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
GPT-4o-Mini, GPT-5-Mini, GPT-5 and others8
- AttacksJailbreaks
- TechniqueEncoding and obfuscation
Abstract作者比较六种数学编码，称深度改写而非数学符号本身更能绕过现有安全过滤。
作者在 black-box、只提交纯文本的设定下，比较六种数学编码能否让仍开着安全措施的模型产出有害内容。
Paper analysisRead analysis
AttacksarXiv 2605.00583May 1
Jailbreaking vision-language models through the visual modality
提出四类视觉越狱，把有害意图编码进图像以绕过安全拒答
arXiv
2605.00583
Published
May 1
Layer
Prompt layer
Setting
Models and APIs
Evaluated models
GPT-5.2, Claude-Haiku-4.5, Gemini-3-Flash and others8
- AttacksJailbreaks
- TechniqueCross-modal payloads
- ComponentVision
Abstract四类视觉越狱在六个 VLM 上检验文本对齐能否挡住视觉意图，模型与攻击之间差异大。
四类视觉越狱用来检验前沿 VLM 的文本安全训练能否挡住由图像传达的有害意图。。
Paper analysisRead analysis
AttacksarXiv 2603.16192Mar 17
Structured Semantic Cloaking for Jailbreaking Large Language Models
Propose S2C jailbreak, which delays harmful intent integration using contextual rewriting, fragmentation, and clue-guided camouflage.
arXiv
2603.16192
Published
Mar 17
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
Llama3.3-70B-Instruct, DeepSeek-r1, DeepSeek-v3 and others16
- AttacksJailbreaks
- TechniqueEncoding and obfuscation
Paper analysisRead analysis

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