Translation in progress Some entries still include text in the original language.
Oct 12 · Monday
All papers Found 11 papers Another 255 papers do not have category tags yet and are not included in filtered results.
“
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.
提出流匹配逆向框架,从多向量视觉文档索引重构页面
Published Oct 7
Evaluated models Tomoro-ColQwen3-8B , ColQwen3.5-4.5B , Tomoro-colqwen3-embed-4b and others13 评测文生图模型的有害内容生成能力与审核检测缺口
Published Oct 5
Evaluated models SDXL , Stable Diffusion 3.5 Large , FLUX.1-dev and others12 提出 Persona Guardrail,强制客服智能体守住功能边界
Published Oct 2
Evaluated models Qwen3-30B-A3B , Qwen3-VL-30B , Qwen3-8B and others5 Abstract Persona 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。
提出 imMRAG 攻击,从多模态 RAG 私有图像库提取内容
Published Oct 1
Evaluated models Lumina-mGPT , Gemini 2.5 Flash Image Preview , CLIP ViT-B/16 and others5 提出 IDUnlearn-Bench,评测 VLM 个体级遗忘后的身份残留
Published Sep 27
Evaluated models Qwen3-VL-2B , Qwen3-VL-4B , Qwen3-VL-8B and others6 Abstract IDUnlearn-Bench 用四族探针显示:压低直接属性访问后,身份仍常能被反向查出、绑定或重构。IDUnlearn-Bench 评测 VLM 是否忘掉一个可跨模态识别的人,而不只是答不出某条监督事实。
提出扩散潜空间地理扰动防御,抑制视觉语言模型泄露精确地理位置
Published Sep 18
Evaluated models GPT-4.1 , GPT-5 , Gemini 2.5 Pro and others5 提出 QPriv-VL,用问题引导剪枝降低分布式视觉问答的隐私泄露
Published Sep 14
Evaluated models LLaVA-1.5-7B , Llama-2 Abstract QPriv-VL 在切层前按问题相关度与 DINOv2 敏感度剪视觉 token,作者称能在约四成 token 下兼顾准确率与四类攻击。QPriv-VL 把问题引导的视觉 token 剪枝做成分布式 VQA 的客户端隐私防御,而不是只做集中式推理加速。
提出机器遗忘式生成图像检测,用遗忘前后特征相似度区分自然图与生成图
Published Aug 1
Evaluated models DINOv2 ViT-S/14 , DINOv2 ViT-B/14 , DINOv2 ViT-L/14 and others9 Abstract 作者用剪枝或 LoRA 遗忘拉开生成图与自然图的特征相似度,并在多个检测基准上报告结果。这篇工作把 AI 生成图像检测写成对预训练视觉模型的机器遗忘:原模型对两类图像损失都低,剪枝后生成图特征变得更不像原模型。
提出 RA-Det,利用鲁棒性不对称检测 AI 生成图像
Published Mar 2 Abstract RA-Det 把扰动下特征漂移差变成检测信号,平均 ACC 高于表中通用检测器,但不是每行最高。RA-Det 是合成图像检测器,用扰动下的表示稳定性差异代替外观痕迹。
提出 ChartAttack,用恶意提示驱动代码模型生成误导图表
Published Jan 19
Evaluated models Claude-4.6-Sonnet , GPT-4o , Gemini-2.5-Flash and others20 Abstract ChartAttack 生成不改数据的误导图,降低 MLLM 与人类的图表问答准确率。ChartAttack 研究恶意提示能否让 MLLM 在不改数据的情况下生成误导图表,并量化这些图对其他 MLLM 和人类图表问答的影响。
Defenses arXiv 2312.06632 · Dec 12, 2023 提出 SciGuard 外部护栏与 SciMT 基准,控制化学科学 AI 误用
Published Dec 12, 2023
Evaluated models SciGuard (GPT-4) , SciGuard (Gemini) , SciGuard (Mixtral) and others5 Abstract SciGuard 以外部智能体控制化学 AI 误用。这篇工作把化学科学 AI 的误用控制做成外部智能体,而不是改模型权重。作者担心合成规划、毒性预测和科学语言模型被用来获取有害物质信息、规避监管或传播危险知识,同时合法工业用途又不能靠一律拒绝来处理。SciGuard 由 LLM 担任中介,把原则和指南放进短期记忆,把分子库、危害库、法规和交互历史放进可检索的长期记忆,再按 Chain of Thought 调用 Chemprop、LocalRetro 等工具,或用 RAG 补法规片段,最后回答、追问或拒绝。
You have reached the end