Subhash Sankuratripati

Artificial Intelligence · 2018

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

• Artificial Intelligence — 29 citations into it
• Privacy & Security — 21 citations into it
• Sociology and Political Science — 9 citations into it
• Statistics and Probability — 5 citations into it

Whom Subhash Sankuratripati trusts overall

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

1. Cynthia Dwork
2. Ilya Mironov

Papers from Subhash Sankuratripati's perspective

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

1. Gradient-based learning applied to document recognition
2. Calibrating Noise to Sensitivity in Private Data Analysis
3. Deep Learning with Differential Privacy
4. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
5. The Algorithmic Foundations of Differential Privacy
6. GradientBased Learning Applied to Document Recognition
7. A firm foundation for private data analysis
8. Stochastic gradient descent with differentially private updates
9. Scalable Private Learning with PATE
10. Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds

Their papers

• Differentially-Private "Draw and Discard" Machine Learning (2018) — 39 citations