Puda让用户自主管理跨平台数据，实现隐私与个性化平衡。
Puda: Private User Dataset Agent for User-Sovereign and Privacy-Preserving Personalized AI
- 构建浏览器端架构，支持多服务数据聚合与客户端管理
- 仅共享预设类别子集即可达97.2%的个性化效果
- 提供三级隐私控制粒度，适合注重隐私的AI用户
主流平台对个人数据的集中化管理形成了数据孤岛，限制了用户主权，阻碍了跨服务数据使用。与此同时，基于大语言模型（LLM）的智能体快速普及，对高度个性化服务的需求激增，亟需在利用多样化个人数据与保护隐私之间取得平衡。为此，我们提出Puda（Private User Dataset Agent），一种用户主权导向的架构，可跨服务聚合数据并实现客户端管理。Puda支持三种隐私级别：(i) 详细浏览历史，(ii) 提取关键词，(iii) 预定义类别子集。我们实现了一个基于浏览器的系统，在个性化旅行规划任务中进行评估。结果表明，仅共享预定义类别子集即可达到97.2%的个性化性能（通过三个标准的LLM-as-a-Judge框架评估）。这证明了Puda能有效实现多粒度管理，为缓解隐私-个性化权衡提供了实用方案。整体上，Puda为用户主权提供了AI原生基础，使用户能安全地发挥个性化AI的全部潜力。
原文摘要 · Abstract (English)
Personal data centralization among dominant platform providers including search engines, social networking services, and e-commerce has created siloed ecosystems that restrict user sovereignty, thereby impeding data use across services. Meanwhile, the rapid proliferation of Large Language Model (LLM)-based agents has intensified demand for highly personalized services that require the dynamic provision of diverse personal data. This presents a significant challenge: balancing the utilization of such data with privacy protection. To address this challenge, we propose Puda (Private User Dataset Agent), a user-sovereign architecture that aggregates data across services and enables client-side management. Puda allows users to control data sharing at three privacy levels: (i) Detailed Browsing History, (ii) Extracted Keywords, and (iii) Predefined Category Subsets. We implemented Puda as a browser-based system that serves as a common platform across diverse services and evaluated it through a personalized travel planning task. Our results show that providing Predefined Category Subsets achieves 97.2% of the personalization performance (evaluated via an LLM-as-a-Judge framework across three criteria) obtained when sharing Detailed Browsing History. These findings demonstrate that Puda enables effective multi-granularity management, offering practical choices to mitigate the privacy-personalization trade-off. Overall, Puda provides an AI-native foundation for user sovereignty, empowering users to safely leverage the full potential of personalized AI.
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