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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.
比对捐赠对话史与众包提交,测量 AI 代答的集中度与获批
Published Oct 7 系统综述青年 AI 安全风险与对策的证据阶段
Published Oct 6 Abstract 作者称多数风险-对策关联停在提议,并主张把目标扩向安全的青年发展。
比较家长与青少年对 AI 伴侣使用的公开叙述
Published Sep 18 Abstract 两类社区叙述分叉。Berkane 等比较育儿与青少年 subreddit 对青少年 AI companion 使用的公开叙述,看父母作为主要调解者能看到什么、漏掉什么。
论证红队评测存在威胁模型覆盖缺口并用多语言探针验证
Published Sep 6
Evaluated models Llama-3.1-8B-Instruct 综述视觉内容全生命周期中的所有者侧对抗防护方法
Published Aug 5 Abstract 综述把五类对抗式保护收成一个生命周期,并用三条轴比较其主张。Adversarial attacks for good 是一篇视觉内容所有者侧保护的综述:把长期作为攻击来研究的扰动和结构化信号,反过来交给数据所有者、创作者、平台或审计方使用。
提出面向意图的多轮 LLM 越狱分类体系
Published Aug 2
Evaluated models Llama-3 , Llama-3.3-70B , DeepSeek-V3 and others11 Abstract 作者用四维意图分类整理多轮越狱,并称组织方式影响效果与观察范围。这是一篇关于多轮 LLM 越狱的 SoK:按有害意图在交互中的组织位置分类,而不是按单步提示技巧分类。
主张用越狱公开探测疑似 LLM 社交机器人以暴露自动化
Published Mar 2 Abstract 立场文将越狱重述为抵抗 LLM 社交机器人的公民缓和实践,没有定量实验。作者把越狱从绕过安全屏障的技术,改写成用户抵抗 LLM 社交机器人、缓和政治话语升级的公民实践。
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