Differential Perspectives: Epistemic Disconnects Surrounding the U.S. Census Bureau’s Use of Differential Privacy-Reference-Cited by-同舟云学术

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Differential Perspectives: Epistemic Disconnects Surrounding the U.S. Census Bureau’s Use of Differential Privacy

Published:2022-06-24 Issue: Volume: Page:
ISSN:
Container-title:Harvard Data Science Review
language:en
Short-container-title:

Author:

boyd danah¹,Sarathy Jayshree²

Affiliation:

1. Microsoft Research New England, Cambridge, Massachusetts, United States of America; Technology and Society Initiative, Georgetown University, Washington DC, United States of America; Data & Society Research Institute, New York City, New York, United States of America

2. Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of America

Publisher

MIT Press - Journals

Cited by 14 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. Statistical Imaginaries, State Legitimacy: Grappling With the Arrangements Underpinning Quantification in the U.S. Census;Critical Sociology;2024-08-21

2. Equitable differential privacy;Frontiers in Big Data;2024-08-16

3. What is research data “misuse”? And how can it be prevented or mitigated?;Journal of the Association for Information Science and Technology;2024-07-27

4. Differential privacy in deep learning: A literature survey;Neurocomputing;2024-07

5. Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau’s Adoption of Differential Privacy;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

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