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Oct 12 · Monday
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About this collection Collection in progress We are building a large AI safety paper collection to help researchers find work related to their interests. Papers are collected automatically andfiltered only for relevance to AI safety , without judging quality, novelty or reading value. The default “Annotated first” shows papers with tags or published paper analyses first. Each group is ordered by original publication date, newest first, with undated papers last. “Newest first” uses publication dates only. This order is not a quality ranking.
One-line summaries, tags and paper analyses are prepared by AI from the papers. Language models may have systematic biases and produce hallucinations.We plan to carry out human annotation and review to reduce errors in this content.
Propose KVeil, which adds perturbations to face videos to prevent unauthorized customization from reproducing identity
Published Oct 9
Evaluated models Wan2.2-TI2V-5B , HunyuanVideo-1.5 , Kling 3.0 and others4 Abstract KVeil adapts LETHE's reference-reading disruption to the challenge's two stages, ranking first on the leaderboard in both Final columns.
提出 UNTAG，绕过开源权重模型的 trigger-tag 滥用检测
Published Oct 2
Evaluated models Llama2 (7B) , Llama3 (8B) , Qwen2.5 (7B) 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。
提出 GSU 在发布前封堵敏感门梯度，抵抗下游微调获取禁止能力
Published Sep 30
Evaluated models Llama-3.2-1B , Llama-3.2-3B , Llama-3.1-8B and others7 Abstract GSU 在发布前封堵 SiLU 门的获取梯度，并在 TOFU 与 WMDP 上降低下游微调得分。Gradient-Sealed Unlearning（GSU） 是一种发布前的 preemptive unlearning：不删除模型里已经有的能力，而是让指定禁止域能力更难被发布后的微调获取。
提出 PACT，遗忘推理模型在压力下的欺骗行为并保留上下文理解
Published Sep 30
Evaluated models DeepSeek-R1-Distill-Qwen-32B , QwQ-32B Abstract 论文将大模型欺骗形式化为上下文条件行为，提出 PACT 框架在消除欺骗的同时保留了上下文遵循能力。
检验层冻结与奇异方向截断能否挡住少样本有害微调
Published Sep 29
Evaluated models Llama-3.1-8B-Instruct , Llama-3.1-Tulu-3-8B-DPO , OLMo-2-1124-7B-Instruct and others10 Abstract 定位与恢复可以复现，但知情攻击能把损伤移出冻结带，并打败跨检查点的截断修复。这篇工作检验：把拒答定位到某些层或更新方向之后，能不能在攻击者知情时还守住拒答。 。
提出跨架构攻击 CSR，用概念分数参数重学习恢复文生图被擦除概念
Published Sep 27
Evaluated models FLUX.1-dev , Stable Diffusion-v1.4 提出 ARIA，在冻结权重上用 SAE 做推理时遗忘门控
Published Sep 15
Evaluated models DeepSeek-R1-Distill-Qwen-1.5B , Gemma-3-1B-it 提出 SEAL，在 MoE 共享专家上做 DPO-LoRA 对齐以抵御越狱与权重篡改
Published Sep 2
Evaluated models Qwen1.5-MoE-A2.7B , DeepSeekMoE-16B , GLM-4.7-Flash and others4 Abstract SEAL 把 DPO-LoRA 限制在混合 MoE 共享专家上，SEAL++再保护已有安全神经元方向。SEAL 是面向混合 MoE 的训练时防御：只对齐始终执行的共享专家，使安全不依赖路由器是否把 token 送到安全专家。
提出参考嫁接，在推理阶段用激活干预诱导沙袋隐藏能力
Published Aug 30
Evaluated models Qwen2.5-1.5B , Qwen2.5-3B , Qwen2.5-14B and others15 Abstract 提出参考嫁接在推理阶段以低成本匹配微调诱导效果，揭示隐瞒表征重叠与阈值门控机制。
提出 SN-Guided Diffusion，利用安全神经元实现离线越狱
Published Aug 8
Evaluated models Qwen2.5-7B-Instruct , LLaDA-8B-Instruct , Dream-Instruct-7B and others15 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。
提出 USG，在部分保护开源权重发布时阻断有害微调梯度
Published Aug 6
Evaluated models Qwen3-14B（表中作 Qwen-14B） , Llama-3.1-8B（表中作 Llama-8B） Abstract USG 在 PPOW 下用零空间立方层阻断有害微调梯度。Unidirectional Safety Gate 是面向 PPOW 发布设定的发布时防护：大部分权重仍可训练，一小部分安全关键组件由提供者侧加固保留，下游不必配合额外安全流程。 。
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
Published May 9
Evaluated models Qwen3-1.7B , Qwen3-4B , Qwen3-8B and others11 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。
提出 HMNS，通过注意力头掩码与零空间注入实现机制级越狱
Published Apr 12
Evaluated models LLaMA-2-7B-Chat , Phi-3-Medium-4K-Instruct , LLaMA-3.1-70B and others6 提出 Amnesia 激活引导攻击，推理时绕过模型安全拒答
Published Mar 10
Evaluated models Llama-2-7B-Chat , Llama-3-8B-Instruct , Qwen-7B-Chat 提出 PCA-OT 表示层拒答消融，推理时改写激活绕过拒绝
Published Mar 5
Evaluated models Llama-2-7b-chat-hf , Llama-2-13b-chat-hf , Llama-3.1-8B-Instruct and others6 提出 CFA2，用 SAE 定位防御方向并正交化输出权重实现越狱
Published Feb 5
Evaluated models Llama 3.1 8B Instruct , Llama2 7B Chat , Mistral 7B Instruct and others4 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
Published Jan 22
Evaluated models Llama-2-7b-chat , Llama-3.1-8B-Instruct , Qwen2.5-7B-Instruct and others4 Attacks arXiv 2512.21008 · Dec 24, 2025 提出 GateBreaker，推断时定位并置零 MoE 安全神经元以解除安全对齐
Published Dec 24, 2025
Evaluated models GPT-OSS-20B , Qwen3-30B-A3B-Instruct-2507 , Phi-3.5-MoE-Instruct and others14 You have reached the end