Donald E. Brown

Artificial Intelligence · with Wang · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Privacy & Security — 11 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Genetics — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Donald E. Brown trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Cynthia Dwork
2. Kamalika Chaudhuri
3. Jihun Hamm
4. Pascal Paillier
5. Zhanglong Ji

Papers from Donald E. Brown's perspective

Ordered by how strongly the researchers Donald E. Brown trusts endorse each paper. Same corpus, a different order for every researcher.

1. Multitask Learning
2. Calibrating Noise to Sensitivity in Private Data Analysis
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Differentially Private Empirical Risk Minimization
6. Gradient-based learning applied to document recognition
7. The Algorithmic Foundations of Differential Privacy
8. Deep Learning with Differential Privacy
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Differentially Private Hypothesis Transfer Learning (2018) — 55 citations
• PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers (2016) — 25 citations