Yongwoo Lee

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computational Theory and Mathematics — 12 citations into it
• Privacy & Security — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Yongwoo Lee trusts overall

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

1. Jung Hee Cheon
2. Craig Gentry
3. Alex Krizhevsky
4. Anders Lisdorf

Papers from Yongwoo Lee's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. Fully homomorphic encryption using ideal lattices
3. (Leveled) Fully Homomorphic Encryption without Bootstrapping
4. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
5. Fully Homomorphic Encryption from Ring-LWE and Security for Key Dependent Messages
6. Bootstrapping for Approximate Homomorphic Encryption (IACR Cryptology ePrint Archive)
7. Gazelle: A Low Latency Framework for Secure Neural Network Inference
8. Faster Bootstrapping with Polynomial Error (Annual International Cryptology Conference)
9. CryptoDL: Deep Neural Networks over Encrypted Data
10. F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (Micro)

Their papers

• OpenFHE: Open-Source Fully Homomorphic Encryption Library (2022) — 451 citations
• Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network (2021) — 366 citations