Jaewoo Lee

Artificial Intelligence · with Clifton · 2011–2018

A researcher in the Science corpus: 6 papers; trusts 66 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it; #9,245 of 35,345 by trust here, #14,181 by citations
• Privacy & Security — 43 citations into it
• Statistics and Probability — 23 citations into it
• Sociology and Political Science — 17 citations into it
• Computer Science Applications — 11 citations into it
• Management Science and Operations Research — 9 citations into it
• Safety, Robustness & Interpretability — 9 citations into it
• Computational Theory and Mathematics — 8 citations into it

Whom Jaewoo Lee trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. Adam D. Smith
4. Kobbi Nissim
5. Kamalika Chaudhuri
6. Chih-Jen Lin
7. Mohammed J. Zaki
8. Jorge Nocedal
9. Moritz Hardt
10. Daniel Kifer

Who trusts Jaewoo Lee overall

1. Yan Chen
2. Chen Chen
3. Ahmed El Ouadrhiri
4. Min Lyu
5. Tianqing Zhu
6. Rui Chen
7. Ashwin Machanavajjhala
8. Royce J. Wilson
9. Marco Gaboardi
10. Jaewoo Lee

Papers from Jaewoo Lee's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Calibrating Noise to Sensitivity in Private Data Analysis
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Revealing information while preserving privacy
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Differential Privacy
10. ImageNet: A large-scale hierarchical image database

Their papers

• How Much Is Enough? Choosing ε for Differential Privacy (2011) — 281 citations
• Differential identifiability (2012) — 108 citations
• Statistical Approximating Distributions Under Differential Privacy (2018) — 23 citations
• Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget (2018) — 187 citations
• Revisiting Differentially Private Hypothesis Tests for Categorical Data (2015) — 58 citations
• Top-k frequent itemsets via differentially private FP-trees (2014) — 85 citations