Torgeir Hovden
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it; #34,717 of 35,345 by trust here, #20,836 by citations
- Privacy & Security — 22 citations into it; #686 of 709 by trust here, #526 by citations
- Computer Science Applications — 7 citations into it
Whom Torgeir Hovden trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Torgeir Hovden overall
Papers from Torgeir Hovden's perspective
Ordered by how strongly the researchers Torgeir Hovden trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Randomized response: a survey technique for eliminating evasive answer bias.
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
- A firm foundation for private data analysis
- What Can We Learn Privately?
- Local Privacy and Statistical Minimax Rates
- The Algorithmic Foundations of Differential Privacy
- Discovering frequent patterns in sensitive data
- Robust De-anonymization of Large Sparse Datasets
- Pseudorandom Bits for Polynomials
Their papers
- BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model (2017) — 102 citations