Eric Lantz

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Privacy & Security — 9 citations into it; #692 of 709 by trust here, #147 by citations
• Sociology and Political Science — 9 citations into it
• Statistics and Probability — 9 citations into it
• Economics and Econometrics — 5 citations into it

Whom Eric Lantz trusts overall

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

1. Jing Lei
2. Staal Amund Vinterbo
3. P. Bonate
4. Arvind Narayanan
5. David J. Hand
6. Fida Kamal Dankar
7. Cynthia Dwork

Who trusts Eric Lantz overall

1. Michael Backes
2. Matt Fredrikson
3. Samuel Yeom
4. Briland Hitaj
5. Laura Graves

Papers from Eric Lantz's perspective

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

1. Differentially Private M-Estimators
2. Differentially Private Projected Histograms: Construction and Use for Prediction
3. Functional Mechanism: Regression Analysis under Differential Privacy
4. A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
5. Myths and fallacies of "Personally Identifiable Information"
6. Clinical Trial Simulation in Drug Development
7. On the rationale of maximum-entropy methods
8. The application of differential privacy to health data
9. Simulation of clinical trials.
10. Calibrating Noise to Sensitivity in Private Data Analysis

Their papers

• Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing (2014) — 908 citations