Nikola Samardžić

Micro · 2021

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

Whom Nikola Samardžić trusts overall

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

  1. Craig Gentry
  2. Alex Krizhevsky
  3. Wei Wang
  4. Shai Halevi
  5. Chris Peikert
  6. Vadim Lyubashevsky
  7. Yann LeCun
  8. Zvika Brakerski
  9. Jung Hee Cheon

Papers from Nikola Samardžić's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Learning Multiple Layers of Features from Tiny Images
  3. On Ideal Lattices and Learning with Errors over Rings
  4. A fully homomorphic encryption scheme
  5. Homomorphic Encryption from Learning with Errors: Conceptually-Simpler, Asymptotically-Faster, Attribute-Based
  6. Homomorphic Evaluation of the AES Circuit
  7. CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
  8. Fully Homomorphic Encryption without Modulus Switching from Classical GapSVP
  9. Somewhat Practical Fully Homomorphic Encryption
  10. ImageNet classification with deep convolutional neural networks

Their papers