Woosuk Choi

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

Whom Woosuk Choi 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 Woosuk Choi's perspective

Ordered by how strongly the researchers Woosuk Choi 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. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  4. Somewhat Practical Fully Homomorphic Encryption
  5. Gazelle: A Low Latency Framework for Secure Neural Network Inference
  6. Bootstrapping for Approximate Homomorphic Encryption (IACR Cryptology ePrint Archive)
  7. CryptoDL: Deep Neural Networks over Encrypted Data
  8. A Full RNS Variant of Approximate Homomorphic Encryption
  9. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Puerto Rico June pages Ego Motion Estimation Using Optical Flow Fields Observed from Multiple Cameras
  10. Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference

Their papers