Bryant Gipson
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it
- Privacy & Security — 16 citations into it
- Sociology and Political Science — 8 citations into it
Whom Bryant Gipson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Bryant Gipson's perspective
Ordered by how strongly the researchers Bryant Gipson 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
- On significance of the least significant bits for differential privacy
- Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
- 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
- Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0) (2020) — 449 citations
- Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.1) (2020) — 322 citations