Benjamin Stoddard

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #21,855 of 35,345 by trust here, #30,347 by citations
• Privacy & Security — 8 citations into it

Whom Benjamin Stoddard trusts overall

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

1. Cynthia Dwork
2. Kobbi Nissim
3. Moritz Hardt
4. Adam D. Smith
5. Xiaokui Xiao
6. Frank McSherry
7. Abhradeep Thakurta
8. Manoranjan Dash
9. Arik Friedman
10. Avrim Blum

Who trusts Benjamin Stoddard overall

1. Yan Chen
2. Min Lyu
3. Ashwin Machanavajjhala
4. Dong Su

Papers from Benjamin Stoddard's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Differential Privacy
3. Smooth sensitivity and sampling in private data analysis
4. Practical privacy: the SuLQ framework
5. Revealing information while preserving privacy
6. Differentially private recommender systems: building privacy into the net
7. Differential privacy via wavelet transforms
8. Boosting and Differential Privacy
9. A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis
10. ImageNet classification with deep convolutional neural networks

Their papers

• Differentially Private Algorithms for Empirical Machine Learning (2014) — 34 citations