Simon Couch

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Couch trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Marco Gaboardi
  2. Cynthia Dwork
  3. Adam D. Smith
  4. Arvind Narayanan
  5. Duy Vu
  6. Aleksandra B. Slavkovic
  7. Yue Wang
  8. Kobbi Nissim
  9. Frank McSherry
  10. Vitaly Shmatikov

Papers from Simon Couch's perspective

Ordered by how strongly the researchers Simon Couch trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarrays
  3. Differential Privacy for Clinical Trial Data: Preliminary Evaluations
  4. Smooth sensitivity and sampling in private data analysis
  5. Privacy-Preserving Data Exploration in Genome-Wide Association Studies
  6. A Statistical Framework for Differential Privacy
  7. Privacy-Preserving Data Sharing for Genome-Wide Association Studies
  8. Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing
  9. Our Data, Ourselves: Privacy Via Distributed Noise Generation
  10. Efficient, Differentially Private Point Estimators

Their papers