Daniel Simmons-Marengo
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it
- Privacy & Security — 14 citations into it
- Sociology and Political Science — 8 citations into it
Whom Daniel Simmons-Marengo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Daniel Simmons-Marengo's perspective
Ordered by how strongly the researchers Daniel Simmons-Marengo trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Smooth sensitivity and sampling in private data analysis
- The Algorithmic Foundations of Differential Privacy
- Privacy integrated queries: an extensible platform for privacy-preserving data analysis
- No free lunch in data privacy
- Rényi Differential Privacy
- Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
- On significance of the least significant bits for differential privacy
- The Composition Theorem for Differential Privacy
- Towards Practical Differential Privacy for SQL Queries
Their papers
- Differentially Private SQL with Bounded User Contribution (2019) — 173 citations