Ruogu Zeng
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it
- Privacy & Security — 21 citations into it
- Sociology and Political Science — 9 citations into it
- Statistics and Probability — 5 citations into it
Whom Ruogu Zeng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ruogu Zeng's perspective
Ordered by how strongly the researchers Ruogu Zeng trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Calibrating Noise to Sensitivity in Private Data Analysis
- Deep Learning with Differential Privacy
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
- The Algorithmic Foundations of Differential Privacy
- A firm foundation for private data analysis
- GradientBased Learning Applied to Document Recognition
- Stochastic gradient descent with differentially private updates
- Scalable Private Learning with PATE
- Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
Their papers
- Differentially-Private "Draw and Discard" Machine Learning (2018) — 39 citations