Leting Wu

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #25,821 of 35,345 by trust here, #31,361 by citations

Whom Leting Wu trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. Peter D. Hoff
4. Kamalika Chaudhuri

Who trusts Leting Wu overall

1. S. Ji

Papers from Leting Wu's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Differential privacy and robust statistics
3. Pseudorandom Bits for Polynomials
4. Smooth sensitivity and sampling in private data analysis
5. Near-Optimal Algorithms for Differentially-Private Principal Components
6. Simulation of the Matrix Bingham–von Mises–Fisher Distribution, With Applications to Multivariate and Relational Data
7. Matrix Perturbation Theory
8. Differentially private recommender systems: building privacy into the net
9. Towards Sharp Inapproximability For Any 2-CSP
10. Differentially Private Empirical Risk Minimization

Their papers

• Differential Privacy Preserving Spectral Graph Analysis (2013) — 127 citations