Matching Uses and Data Protections for Government Data
Talkat Data Privacy: From Foundations to Applications (Simons Institute workshop, 2019) · 2019-03-04..03-08·
summary
Presents an empirical catalog of how government data is disseminated (published estimates, interactive queries, dynamic maps, public use files, restricted enclaves) and maps concrete controls to actual uses: model servers, differential privacy, homomorphic encryption, and secure data enclave among others. Finds hand-coded evidence from hundreds of research and application cases that individual-level inspection and linking occurs, that one size does not fit all, and that differential privacy currently fails for high‑frequency, high‑dimensional data so tiered access plus human oversight is often required.
AI-written summary · about
chapters (7)
- 0:00Start
- 2:42Broader Context
- 4:59Harm Depends on Privacy & Sensitivity
- 7:04Changes in Data Collection, Environment Change Identifiability, Threats and Vulnerabilities
- 9:42Example temporal risk factors for big data
- 16:13Examples of appropriate privacy and security controls based on the risk drivers and intended mode of analysis identified a big data use case.
- 20:22Characterizing Traces of Use
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