Yilun Jin

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it; #34,877 of 35,345 by trust here, #16,471 by citations
• Privacy & Security — 9 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Yilun Jin trusts overall

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

1. Cynthia Dwork
2. Pascal Paillier

Who trusts Yilun Jin overall

1. Yang Liu

Papers from Yilun Jin's perspective

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

1. Deep Learning with Differential Privacy
2. Privacy-preserving deep learning
3. The Algorithmic Foundations of Differential Privacy
4. Differential Privacy: A Survey of Results
5. SecureML: A System for Scalable Privacy-Preserving Machine Learning
6. Practical Secure Aggregation for Privacy-Preserving Machine Learning
7. Gradient-based learning applied to document recognition
8. Federated Learning: Strategies for Improving Communication Efficiency
9. Advances and Open Problems in Federated Learning (Found. Trends Mach. Learn.)
10. Agnostic Federated Learning

Their papers

• SecureBoost: A Lossless Federated Learning Framework (2019) — 701 citations