Yan Chen

Artificial Intelligence · with Machanavajjhala · 2014–2015

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it; #11,986 of 35,345 by trust here, #17,776 by citations
• Privacy & Security — 19 citations into it
• Statistics and Probability — 7 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Yan Chen trusts overall

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

1. Cynthia Dwork
2. Jaewoo Lee
3. Frank McSherry
4. Kobbi Nissim
5. Benjamin Stoddard
6. Rui Chen
7. Moritz Hardt
8. Xiaokui Xiao
9. Adam D. Smith
10. Chris Clifton

Who trusts Yan Chen overall

1. Min Lyu
2. Danfeng Zhang
3. Jun Zhang
4. Dong Su
5. Ninghui Li
6. Daniel Kifer
7. Graham Cormode
8. Ashwin Machanavajjhala
9. Zeyu Ding

Papers from Yan Chen's perspective

Ordered by how strongly the researchers Yan Chen 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. A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis
6. Differential Privacy: A Survey of Results
7. Differential privacy via wavelet transforms
8. Privacy integrated queries: an extensible platform for privacy-preserving data analysis
9. Revealing information while preserving privacy
10. A firm foundation for private data analysis

Their papers

• On the Privacy Properties of Variants on the Sparse Vector Technique (2015) — 35 citations
• Principled Evaluation of Differentially Private Algorithms using DPBench (2015) — 166 citations
• Differentially Private Algorithms for Empirical Machine Learning (2014) — 34 citations