David E. Culler
Artificial Intelligence · with Mohan · 2012
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Privacy & Security — 11 citations into it
Whom David E. Culler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from David E. Culler's perspective
Ordered by how strongly the researchers David E. Culler trusts endorse each paper. Same corpus, a different order for every researcher.
- Smooth sensitivity and sampling in private data analysis
- Robust De-anonymization of Large Sparse Datasets
- Privacy-preserving statistical estimation with optimal convergence rates
- Selling privacy at auction
- MapReduce: simplified data processing on large clusters
- Differentially private aggregation of distributed time-series with transformation and encryption
- Optimizing linear counting queries under differential privacy
- Calibrating Noise to Sensitivity in Private Data Analysis
- Differentially private recommender systems: building privacy into the net
- Differential Privacy
Their papers
- GUPT: privacy preserving data analysis made easy (2012) — 267 citations