Kim Laine

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 13 papers; trusts 123 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Kim Laine trusts overall

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

  1. Craig Gentry
  2. Zvika Brakerski
  3. Vinod Vaikuntanathan
  4. Oded Regev
  5. Junfeng Fan
  6. Shai Halevi
  7. Wei Wang
  8. Frederik Vercauteren
  9. Vadim Lyubashevsky
  10. Benny Pinkas

Who trusts Kim Laine overall

  1. Hao Chen
  2. Sebastian Angel
  3. M. Sadegh Riazi
  4. Fatemehsadat Mireshghallah
  5. Zhicong Huang
  6. Asra Ali
  7. Sarvar Patel
  8. Tancrède Lepoint
  9. Mohammadkazem Taram
  10. A. Al Badawi

Papers from Kim Laine's perspective

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

  1. Fully homomorphic encryption using ideal lattices
  2. On Ideal Lattices and Learning with Errors over Rings
  3. Fully Homomorphic Encryption from Ring-LWE and Security for Key Dependent Messages
  4. (Leveled) Fully Homomorphic Encryption without Bootstrapping
  5. Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
  6. Efficient Fully Homomorphic Encryption from (Standard) LWE
  7. A fully homomorphic encryption scheme
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers