Samuel G. Finlayson

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Samuel G. Finlayson trusts overall

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

1. Ilya Mironov
2. Reza Shokri
3. Cynthia Dwork

Who trusts Samuel G. Finlayson overall

1. Sara Gerke
2. Adnan Qayyum
3. Ketan Paranjape
4. David Watson
5. Xingjun Ma
6. Timo Minssen

Papers from Samuel G. Finlayson's perspective

Ordered by how strongly the researchers Samuel G. Finlayson trusts endorse each paper. Same corpus, a different order for every researcher.

1. Membership Inference Attacks Against Machine Learning Models
2. Calibrating Noise to Sensitivity in Private Data Analysis
3. Deep Learning with Differential Privacy
4. Privacy-preserving deep learning
5. Rényi Differential Privacy
6. Robust De-anonymization of Large Sparse Datasets
7. Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarrays
8. Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
9. Distributed deep learning networks among institutions for medical imaging
10. Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing

Their papers

• The Clinician and Dataset Shift in Artificial Intelligence (2021) — 593 citations
• Adversarial attacks on medical machine learning (2019) — 963 citations
• Privacy-Preserving Distributed Deep Learning for Clinical Data (2018) — 52 citations