Tetsuya Sato

Artificial Intelligence · with Balle · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Privacy & Security — 15 citations into it
• Sociology and Political Science — 7 citations into it

Whom Tetsuya Sato trusts

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

1. Ilya Mironov (in Artificial Intelligence)
2. John M. Abowd (in Artificial Intelligence)
3. Cynthia Dwork (in Artificial Intelligence)

Papers from Tetsuya Sato's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
3. Deep Learning with Differential Privacy
4. Concentrated Differential Privacy
5. The Algorithmic Foundations of Differential Privacy
6. Rényi Differential Privacy
7. Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
8. The Composition Theorem for Differential Privacy
9. Towards Practical Differential Privacy for SQL Queries
10. The U.S. Census Bureau Adopts Differential Privacy

Their papers

• Hypothesis Testing Interpretations and Renyi Differential Privacy (2019) — 155 citations