Don’t Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science

Author:

Sarathy Jayshree1ORCID,Song Sophia2ORCID,Haque Audrey3ORCID,Schlatter Tania4ORCID,Vadhan Salil1ORCID

Affiliation:

1. John A. Paulson School of Engineering and Applied Sciences, Harvard University, United States

2. UC Berkeley, United States

3. John A. Paulson School of Engineering and Applied Sciences, Graduate School of Design, Harvard University, United States

4. Institute for Quantitative Social Science, Harvard University, United States

Funder

U.S. Census Bureau

Publisher

ACM

Reference51 articles.

1. John Abowd , Robert Ashmead , Ryan Cumings-Menon , Simson Garfinkel , Micah Heineck , Christine Heiss , Robert Johns , Daniel Kifer , Philip Leclerc , Ashwin Machanavajjhala , Brett Moran , William Sexton , Matthew Spence , and Pavel Zhuravlev . 2022. The 2020 Census Disclosure Avoidance System TopDown Algorithm. Harvard Data Science Review Special Issue 2 (jun 24 2022 ), 42 – 79. https://hdsr.mitpress.mit.edu/pub/7evz361i. John Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson Garfinkel, Micah Heineck, Christine Heiss, Robert Johns, Daniel Kifer, Philip Leclerc, Ashwin Machanavajjhala, Brett Moran, William Sexton, Matthew Spence, and Pavel Zhuravlev. 2022. The 2020 Census Disclosure Avoidance System TopDown Algorithm. Harvard Data Science Review Special Issue 2 (jun 24 2022), 42 – 79. https://hdsr.mitpress.mit.edu/pub/7evz361i.

2. The U.S. Census Bureau Adopts Differential Privacy

3. Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation

4. What a hybrid legal-technical analysis teaches us about privacy regulation: The case of singling out. BUJ Sci;Altman Micah;& Tech.,2021

5. Privacy amplification by subsampling: Tight analyses via couplings and divergences;Balle Borja;Advances in Neural Information Processing Systems,2018

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

2. Bounded and Unbiased Composite Differential Privacy;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

3. Casual Users and Rational Choices within Differential Privacy;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

4. Addressing Challenges: A Way Forward;Synthesis Lectures on Information Security, Privacy, and Trust;2024

5. Overview of Usable Privacy Research: Major Themes and Research Directions;Synthesis Lectures on Information Security, Privacy, and Trust;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3