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POSE: Phase II: Building the Differential Privacy Ecosystem through OpenDP

POSE: Phase II: Building the Differential Privacy Ecosystem through OpenDP
POSE:第二阶段:通过 OpenDP 构建差分隐私生态系统
批准号:
2303681
负责人:
Salil Vadhan
金额:
$150.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-15 至 2025-07-31

项目摘要

项目成果

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中文摘要
翻译
数据科学和人工智能可以为社会带来许多好处。包含个人私人信息的大型重要数据集,如电子医疗记录或在线购物行为,可用于帮助研究人员了解人类健康和行为,帮助政府评估政策,并帮助公司提供定制产品和服务。然而,即使数据中没有识别信息,仍有可能将特定的人与数据联系起来,从而侵犯他们的隐私。由于这些数据集的所有者有义务保护被收集数据的人的隐私,因此失去了将数据用于研究以造福社会的潜力。为了解决这个问题,OpenDP软件,一套用于差分隐私的开源工具和算法,可以用来确保数据集中没有个人数据可以被识别。该项目支持社区围绕OpenDP软件开发一个自我维持的生态系统。该项目创建了一个由开发者、贡献者和用户组成的可持续的OpenDP生态系统,以及一个可以指导未来发展并响应社区需求的管理委员会。工作坊、会议及媒体连结新的贡献者,创造新的方式来贡献、表扬及管理义工的努力。与公共卫生和基因组学领域的行业和研究人员的接触扩大了OpenDP的用户基础。为OpenDP的未来发展规划和寻找新的应用将确保生态系统的长期稳定。通过这项奖励,OpenDP的用户和贡献者将拥有一个稳定的社区,帮助他们为未来开发隐私解决方案。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Data science and artificial intelligence can offer many benefits for society. Large important data sets containing private information about individuals, such as electronic medical records or online shopping behavior, could be used to help researchers understand human health and behavior, help governments evaluate policies, and help companies offer custom products and services. However, even when the data are stripped of identifying information, it may still be possible to link specific people back to the data and violate their privacy. Because the owners of these datasets are obligated to protect the privacy of the people whose data have been collected, the potential to make the data available for research to benefit society is lost. To address this problem the OpenDP software, an open-source suite of tools and algorithms for differential privacy, can be used to ensure that no individual whose personal data is in a dataset can be identified. This project supports a community effort to develop a self-sustaining ecosystem around the OpenDP software. The project creates a sustainable OpenDP ecosystem of developers, contributors and users, together with a governing board that can guide future development and respond to community needs. Workshops, conferences, and media connect new contributors, creating new ways to contribute, credit, and manage volunteer effort. Outreach to industry and researchers in public health and genomics grows the OpenDP user base. Planning for future growth of and finding new applications for OpenDP will ensure the ecosystem's long-term stability. Through this award, users of and contributors to OpenDP will have a stable community that will assist them in developing privacy solutions for the future.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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会议论文
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