Travel: Student Travel Grant for 2022 Boston Differential Privacy Summer School

广泛使用敏感的个人信息来训练数据驱动的系统，引发了与隐私有关的无数挑战。一个核心问题是系统的输出在多大程度上揭示了个人层面的信息——统计数据、决策、机器学习模型等等。差别隐私已经成为解决这个问题的核心概念。关于差异隐私的研究越来越广泛，而且还在不断增长，在工业和政府中部署了许多差异隐私系统。该奖项将为美国学生提供旅行资助，让他们参加将于2022年6月6日至10日在马萨诸塞州波士顿举行的差异隐私暑期学校，部分地点与同样在波士顿举行的负责任计算基础研讨会（FORC 2022）。DP暑期学校将向学生介绍微分隐私理论和应用方面的一系列前沿主题。这些课程包括关于差异私有统计推断的短期课程、在国家规模的实际部署中出现的问题、合成数据生成和分布式数据私有处理的算法。还将有客座讲座，讨论隐私与其他领域，尤其是法律和政策之间的联系。学生将有机会通过课堂互动和解决问题的环节，与彼此、该领域的专业人士和教师就短期课程主题密切合作。暑期学校将为研究生提供一个独特的机会，让他们了解这一重要而迅速发展领域的最新技术。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。

The widespread use of sensitive personal information to train data-driven systems raises myriad challenges relating to privacy. One central question is the extent to which the outputs of a system—summary statistics, decisions, machine learning models, and more—reveal individual-level information. Differential privacy has emerged as a central concept in addressing this question. There is a broad and still growing body of research on differential privacy, as well as a number of deployed differentially private systems in industry and government.This award will provide travel grants for US-based students to attend the Differential Privacy summer school to be held in Boston, MA, June 6-10, 2022, partly co-located with the Symposium on the Foundations of Responsible Computing (FORC 2022), also held in Boston. The DP summer school will introduce students to a range of cutting-edge topics in the theory and applications of differential privacy. These include short courses on differentially private statistical inference, the issues arising in practical deployments at national scale, synthetic data generation, and algorithms for private processing of distributed data. There will also be guest lectures on connections between privacy and other fields, notably law and policy. Students will have the opportunity to work closely with each other, professionals in the field, and the faculty on the short-course topics via in-class interactions and problem-solving sessions. The summer school will provide a unique opportunity to graduate students to learn the state of the art in an important and rapidly developing field.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.