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S. Garfinkel

7 papers hereh-index 4810.1k citations258 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CR4
  • cs.AI1
  • cs.OS1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedIssues Encountered Deploying Differential Privacy

89 citations · 120 across the 7 of their papers we have counts for

collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2022

Sharpening Your Tools: Updating bulk_extractor for the 2020s

Simson Garfinkel, Jonathan Stewart

Bulk_extractor is a high-performance digital forensics tool written in C++. Between 2018 and 2022 we updated the program from C++98 to C++17, performed a complete code refactoring,…

cs.CR2021★ 4 cited

An Uncertainty Principle is a Price of Privacy-Preserving Microdata

John Abowd, Robert Ashmead, Ryan Cumings-Menon +7

Privacy-protected microdata are often the desired output of a differentially private algorithm since microdata is familiar and convenient for downstream users. However, there is a…

cs.CR2020★ 16 cited

Randomness Concerns When Deploying Differential Privacy

Simson L. Garfinkel, Philip Leclerc

The U.S. Census Bureau is using differential privacy (DP) to protect confidential respondent data collected for the 2020 Decennial Census of Population & Housing. The Census Bureau…

cs.CR2018★ 89 cited

Issues Encountered Deploying Differential Privacy

Simson L. Garfinkel, John M. Abowd, Sarah Powazek

When differential privacy was created more than a decade ago, the motivating example was statistics published by an official statistics agency. In attempting to transition differen…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.