Ronald Dreslinski Jr.

Computer Vision and Pattern Recognition · 2006–2021

A researcher in the Science corpus: 7 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ronald Dreslinski Jr. trusts overall

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

  1. Alex Krizhevsky

Who trusts Ronald Dreslinski Jr. overall

  1. Luca Benini
  2. Igor L. Markov
  3. Michael Bedford Taylor
  4. Mohammadkazem Taram
  5. Trevor E. Carlson
  6. Luiz E. Ramos

Papers from Ronald Dreslinski Jr.'s perspective

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

  1. Learning Multiple Layers of Features from Tiny Images
  2. Gradient-based learning applied to document recognition
  3. A fully homomorphic encryption scheme
  4. On Ideal Lattices and Learning with Errors over Rings
  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. Gazelle: A Low Latency Framework for Secure Neural Network Inference

Their papers