Anna M. Ritz
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it
- Statistics and Probability — 10 citations into it
- Privacy & Security — 8 citations into it
Whom Anna M. Ritz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Anna M. Ritz's perspective
Ordered by how strongly the researchers Anna M. Ritz trusts endorse each paper. Same corpus, a different order for every researcher.
- Smooth sensitivity and sampling in private data analysis
- Differential privacy and robust statistics
- Privacy-preserving logistic regression
- k-Anonymity: A Model for Protecting Privacy
- Differential Privacy for Clinical Trial Data: Preliminary Evaluations
- Privacy-Preserving Data Exploration in Genome-Wide Association Studies
- Privacy-Preserving Data Sharing for Genome-Wide Association Studies
- Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing
- Functional Mechanism: Regression Analysis under Differential Privacy
- Privacy Preserving GWAS Data Sharing
Their papers
- Improved Differentially Private Analysis of Variance (2019) — 25 citations
- Differentially Private ANOVA Testing (2017) — 29 citations