Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 232papers have no tags yet and are not included in filtered results.

Attack technique：Gradient and representation optimization Impact：Harmful content Impact：Availability and reliability Layer：Prompt layer Layer：Model layer Clear all

Another 232papers do not have category tags yet and are not included in filtered results.

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 2610.06083Oct 5
研究者提出面向深度强化学习的轨迹级可迁移黑盒对抗攻击
提出轨迹级可迁移对抗攻击，降低深度强化学习策略的期望回报
arXiv
2610.06083
Published
Oct 5
Layer
Model layer
Setting
Embodied systems and robotics
Evaluated models
DQN, Double DQN (DDQN)
- TechniqueGradient and representation optimization
Abstract轨迹级后退视界攻击在 CartPole 上比逐步 FGSM 类和 Sign 噪声更压低回报。
这项工作研究 DRL 上的迁移式黑盒观测攻击：受害参数不可访问时，在白盒代理上造扰动再迁移。
Paper analysisRead analysis
AttacksarXiv 2610.01062Oct 1
Kernelized Activation Steering：将激活引导推广到再生核希尔伯特空间的新框架
提出核化激活引导 KAS，在推理时自适应转向激活以诱导越狱
arXiv
2610.01062
Published
Oct 1
Layer
Model layer
Setting
Models and APIs
Evaluated models
Qwen2.5-7B-Instruct, Gemma-2-9B-IT, Llama-3.1-8B-Instruct and others4
- AttacksModel tampering
- TechniqueGradient and representation optimization
AbstractKAS 用核梯度做局部自适应转向，并在线性核下恢复 DiM。
Kernelized Activation Steering（KAS） 把推理时的激活转向写成核空间中的优化，使更新随当前激活相对源、目标参考集的位置而变化。
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 2609.02172Sep 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 2608.07430Aug 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
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
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
AttacksarXiv 2605.08513May 9
Apple 研究者发现抑制单个神经元即可绕过 LLM 安全对齐
提出单神经元激活干预，抑制拒答神经元或放大概念神经元以绕过安全对齐
arXiv
2605.08513
Published
May 9
Layer
Model layer
Setting
Models and APIs
Attacker
White-box
Evaluated models
Qwen3-1.7B, Qwen3-4B, Qwen3-8B and others11
- AttacksModel tampering
- TechniqueGradient and representation optimization
Abstract作者称大模型安全由拒答门控与概念底座构成，干预单个神经元足以双向击穿对齐，且拒答神经元在预训练阶段已然存在。
Paper analysisRead analysis
AttacksarXiv 2605.07399May 8
研究者提出 GPO-V，用全局概率优化越狱扩散视觉语言模型
提出 GPO-V，用全局概率优化的视觉扰动越狱扩散视觉语言模型
arXiv
2605.07399
Published
May 8
Layer
Prompt layer
Setting
Models and APIs
Attacker
White-box, Black-box
Evaluated models
LLaDA-V, LaViDA
- AttacksJailbreaks
- TechniqueGradient and representation optimization
- ComponentVision
Abstract作者用视觉扰动改 dVLM 的全局生成概率，以绕过两类拒绝。
GPO-V 把越狱从“开头必须顺从”改成“整段去噪概率朝肯定方向走”。。
Paper analysisRead analysis
AttacksarXiv 2605.04446May 6
Misrouter：利用 MoE 路由机制对混合专家大模型发起仅输入攻击
提出 Misrouter，借 MoE 路由优化仅输入前缀并迁移攻击
arXiv
2605.04446
Published
May 6
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box, White-box
Evaluated models
GPT-4o mini, Qwen-Plus, Phi-4 and others18
- AttacksJailbreaks
- TechniqueGradient and representation optimization
Paper analysisRead analysis
AttacksarXiv 2604.24983Apr 28
PEO：直接优化原始提示词嵌入的 LLM 白盒越狱方法
提出 PEO，直接优化原提示词嵌入实现白盒越狱
arXiv
2604.24983
Published
Apr 28
Layer
Prompt layer
Setting
Models and APIs
Attacker
White-box
Evaluated models
Vicuna-7B-v1.3, Llama-2-7B-Chat, Qwen3-4B-Instruct and others4
- AttacksJailbreaks
- TechniqueGradient and representation optimization
AbstractPEO 原位优化提示词嵌入、多轮只重攻失败样本。
PEO是一种不追加对抗 token 的 white-box 越狱：直接改已有提示词嵌入，并只对未成功样本更换续写目标再优化。
Paper analysisRead analysis
AttacksarXiv 2603.23269Mar 24
Not All Tokens Are Equally Important: Query-Efficient Jailbreak Fuzzing for LLMs
提出 TriageFuzz，用替代模型定位敏感片段做查询高效越狱
arXiv
2603.23269
Published
Mar 24
Layer
Prompt layer
Setting
Models and APIs
Attacker
Black-box
Evaluated models
Gemma-7B-Instruct, Gemma2-9B-Instruct, LLaMA3-8B-Instruct and others9
- AttacksJailbreaks
- TechniqueAutomated search
Paper analysisRead analysis
AttacksarXiv 2603.10080Mar 10
Amnesia: Adversarial Activation Steering on Specific Semantic Layers of Large Language Models
Propose the Amnesia activation-guided attack to bypass model safety refusal during inference
arXiv
2603.10080
Published
Mar 10
Layer
Model layer
Setting
Models and APIs
Attacker
White-box
Evaluated models
Llama-2-7B-Chat, Llama-3-8B-Instruct, Qwen-7B-Chat
- AttacksModel tampering
- TechniqueGradient and representation optimization
Paper analysisRead analysis
AttacksarXiv 2603.03081Mar 3
TAO-Attack: Advanced Optimization-based Jailbreak Attack for Large Language Models
提出 TAO-Attack，用两阶段损失与 DPTO 优化越狱后缀
arXiv
2603.03081
Published
Mar 3
Layer
Prompt layer
Setting
Models and APIs
Attacker
White-box
Evaluated models
Llama-2-7B-Chat, Vicuna-7B-v1.5, Mistral-7B-Instruct-0.2 and others12
- AttacksJailbreaks
- TechniqueGradient and representation optimization
Paper analysisRead analysis
AttacksarXiv 2602.07107Feb 7
ShallowJail: Guiding Jailbreak Attacks Against Large Language Models
提出 ShallowJail，在推理时用转向向量改写隐藏状态实现越狱
arXiv
2602.07107
Published
Feb 7
Layer
Model layer
Setting
Models and APIs
Evaluated models
Qwen3-4B-Instruct-2507, Qwen2.5-7B-Instruct, Llama-3.1-8B-Instruct
- AttacksJailbreaks
- TechniqueGradient and representation optimization
Paper analysisRead analysis
AttacksarXiv 2602.05444Feb 5
Causal front-door adjustment for robust jailbreak attacks on LLMs
提出 CFA2，用 SAE 定位防御方向并正交化输出权重实现越狱
arXiv
2602.05444
Published
Feb 5
Layer
Model layer
Setting
Models and APIs
Attacker
White-box
Evaluated models
Llama 3.1 8B Instruct, Llama2 7B Chat, Mistral 7B Instruct and others4
- AttacksModel tampering
- TechniqueGradient and representation optimization
- ComponentFine-tuning and open weights
Paper analysisRead analysis
AttacksarXiv 2602.03265Feb 3
Beyond Suffixes: The Impact of Token Position in GCG Adversarial Attacks on Large Language Models
比较 GCG 对抗 token 作为前缀与后缀的越狱效果
arXiv
2602.03265
Published
Feb 3
Layer
Prompt layer
Setting
Models and APIs
Attacker
White-box, Black-box
Evaluated models
deepseek-llm-7b-chat, Qwen2.5-7B-Instruct, Mistral-7B-Instruct-v0.3 and others5
- AttacksJailbreaks
- TechniqueGradient and representation optimization
Paper analysisRead analysis
AttacksarXiv 2601.15801Jan 22
Attributing and Exploiting Safety Vectors in Large Language Models via Global Optimization
提出 GOSV，全局优化定位安全注意力头并在推理时重贴激活越狱
arXiv
2601.15801
Published
Jan 22
Layer
Model layer
Setting
Models and APIs
Attacker
White-box
Evaluated models
Llama-2-7b-chat, Llama-3.1-8B-Instruct, Qwen2.5-7B-Instruct and others4
- AttacksModel tampering
- TechniqueGradient and representation optimization
Paper analysisRead analysis

AI Safety Daily

Read the latest issueOne issue per day, updated as events develop