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Oct 12 · Monday
Another 233 papers do not have category tags yet and are not included in filtered results.
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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.
Using fear activation steering to test the hazard judgment criteria of vision-language models
Published Oct 8
Evaluated models Qwen/Qwen2.5-VL-7B-Instruct 构建 MedDistract 基准,测量偶发信息对临床文书与推理的污染
Published Oct 6
Evaluated models GPT-5.4 , GPT-5.6 Sol , Claude Opus 5 and others9 提出校准重合成方法,以生成器反演保真度认证真实图像并防御对抗扰动
Published Oct 5 Abstract 论文提出基于反演保真度与阈值校准的健全认证框架,在对抗扰动下维持错误率界限,并指出真实内容可认证性随生成器演进而萎缩。
提出 MIST 压力测试,检验无关图像是否扰动 VLM 评判者标签
Published Sep 29
Evaluated models GPT-5.2 , Gemini 3.1 Flash-Lite , Gemini 3.5 Flash and others13 Abstract 有图就改标签,图的内容却不告知 judge,裁决绑定配置。作者用MIST 问:VLM 代替人类标注时,可替代性裁决会不会被指南要求忽略的图像改写。
提出 PaperGuard,用图文注入与梯度扰动抬高自动审稿分数并检测恶意指令
Published Jun 11
Evaluated models Claude-sonnet-4.5 , GPT-4o , GPT-4.1 and others11 Abstract PaperGuard 测到提示注入与白盒视觉抬分,并比较分块检索防御。PaperGuard 同时评测并检测多模态 AI 审稿中的评分操纵。
提出 M3 Att,在不知查询时投毒医学多模态 RAG 并误导临床决策
Published May 11
Evaluated models GPT-4o , GPT-5 Chat , Gemini-2.5-Flash and others8 提出 VenomRec 跨模态交互投毒,定向推广多模态推荐物品
Published Feb 6
Evaluated models VIP5 (T5-small) , VIP5 (T5-base) , DiffMM You have reached the end