James Brian Byrd

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it

Whom James Brian Byrd trusts

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

1. Vitaly Shmatikov (in Artificial Intelligence)

Papers from James Brian Byrd's perspective

Ordered by how strongly the researchers James Brian Byrd trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Differential Privacy
3. Calibrating Noise to Sensitivity in Private Data Analysis
4. k-Anonymity: A Model for Protecting Privacy
5. Deep Learning with Differential Privacy
6. Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarrays
7. The Algorithmic Foundations of Differential Privacy
8. Privacy-preserving deep learning
9. Conditional Image Synthesis with Auxiliary Classifier GANs
10. MIMIC-III, a freely accessible critical care database

Their papers

• EV-TRACK: transparent reporting and centralizing knowledge in extracellular vesicle research (2017) — 1,147 citations
• Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing (2017) — 468 citations