Jun Luo

Artificial Intelligence · with Liu · 2013

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Privacy & Security — 12 citations into it
• Sociology and Political Science — 7 citations into it

Whom Jun Luo trusts overall

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

1. Cynthia Dwork
2. Oded Goldreich
3. Frank McSherry
4. Jaideep Vaidya
5. Geetha Jagannathan

Papers from Jun Luo's perspective

Ordered by how strongly the researchers Jun Luo 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. L-diversity: privacy beyond k-anonymity
4. A firm foundation for private data analysis
5. Practical privacy: the SuLQ framework
6. Pseudorandom Bits for Polynomials
7. Smooth sensitivity and sampling in private data analysis
8. Differential Privacy: A Survey of Results
9. Differential privacy via wavelet transforms
10. Differentially private data cubes: optimizing noise sources and consistency

Their papers

• Semantic Security: Privacy Definitions Revisited (2013) — 8 citations