Ryan McKenna

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Privacy & Security — 24 citations into it
• Computer Science Applications — 15 citations into it
• Statistics and Probability — 9 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Ryan McKenna trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. Michael Hay
4. Chao Li
5. Gerome Miklau
6. David Chin-Lung Fong
7. Ashwin Machanavajjhala
8. Graham Cormode
9. Richard H. Byrd
10. Hamid Ebadi

Who trusts Ryan McKenna overall

1. Dan Zhang
2. Tianhao Wang
3. Ios Kotsogiannis

Papers from Ryan McKenna's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Privacy integrated queries: an extensible platform for privacy-preserving data analysis
3. Differentially private recommender systems: building privacy into the net
4. Differential privacy via wavelet transforms
5. Privacy: Theory meets Practice on the Map
6. Differential Privacy
7. Differentially private data cubes: optimizing noise sources and consistency
8. A Simple and Practical Algorithm for Differentially Private Data Release
9. Smooth sensitivity and sampling in private data analysis
10. On the geometry of differential privacy

Their papers

• Fair decision making using privacy-protected data (2019) — 120 citations
• EKTELO: A Framework for Defining Differentially-Private Computations (2018) — 66 citations
• Optimizing error of high-dimensional statistical queries under differential privacy (2018) — 126 citations