NetEase Youdao

Artificial Intelligence · 2010

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Privacy & Security — 12 citations into it
• Computational Theory and Mathematics — 10 citations into it

Whom NetEase Youdao trusts overall

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

1. John F. Canny
2. Avrim Blum
3. Kobbi Nissim
4. Cynthia Dwork
5. Frank McSherry
6. Amos Beimel

Papers from NetEase Youdao's perspective

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

1. Efficient noise-tolerant learning from statistical queries
2. Calibrating Noise to Sensitivity in Private Data Analysis
3. Practical privacy: the SuLQ framework
4. Smooth sensitivity and sampling in private data analysis
5. A learning theory approach to non-interactive database privacy
6. Distributed Private Data Analysis: On Simultaneously Solving How and What
7. Foundations of Cryptography: Volume 2, Basic Applications
8. Our Data, Ourselves: Privacy Via Distributed Noise Generation
9. FairplayMP: a system for secure multi-party computation
10. Google news personalization: scalable online collaborative filtering

Their papers

• P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users (2010) — 68 citations