Yi-Hsiu Chen

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Privacy & Security — 12 citations into it

Whom Yi-Hsiu Chen trusts overall

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

1. Cynthia Dwork
2. Amos Beimel
3. Kobbi Nissim

Papers from Yi-Hsiu Chen's perspective

Ordered by how strongly the researchers Yi-Hsiu Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Our Data, Ourselves: Privacy Via Distributed Noise Generation
2. Distributed Private Data Analysis: On Simultaneously Solving How and What
3. Revealing information while preserving privacy
4. Differential Privacy
5. Calibrating Noise to Sensitivity in Private Data Analysis
6. Privacy-Preserving Datamining on Vertically Partitioned Databases
7. Differentially private recommender systems: building privacy into the net
8. Differentially Private Empirical Risk Minimization
9. A firm foundation for private data analysis
10. Privacy via pseudorandom sketches

Their papers

• Separating Computational and Statistical Differential Privacy in the Client-Server Model (2016) — 16 citations