William Yuan
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 — 12 citations into it
- Safety, Robustness & Interpretability — 5 citations into it
Whom William Yuan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts William Yuan overall
Papers from William Yuan's perspective
Ordered by how strongly the researchers William Yuan trusts endorse each paper. Same corpus, a different order for every researcher.
- Membership Inference Attacks Against Machine Learning Models
- Calibrating Noise to Sensitivity in Private Data Analysis
- Deep Learning with Differential Privacy
- Privacy-preserving deep learning
- Rényi Differential Privacy
- Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarrays
- Robust De-anonymization of Large Sparse Datasets
- Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
- ImageNet classification with deep convolutional neural networks
- Distributed deep learning networks among institutions for medical imaging
Their papers
- Privacy-Preserving Distributed Deep Learning for Clinical Data (2018) — 52 citations