Jong-Seon No

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Jong-Seon No trusts

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

1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
2. Craig Gentry (in Artificial Intelligence)

Papers from Jong-Seon No's perspective

Ordered by how strongly the researchers Jong-Seon No 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. Somewhat Practical Fully Homomorphic Encryption
4. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
5. Bootstrapping for Approximate Homomorphic Encryption (IACR Cryptology ePrint Archive)
6. CryptoDL: Deep Neural Networks over Encrypted Data
7. Gazelle: A Low Latency Framework for Secure Neural Network Inference
8. A Full RNS Variant of Approximate Homomorphic Encryption
9. Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
10. Microsoft

Their papers

• Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network (2021) — 366 citations