Arjun Narayan

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 7 papers; trusts 86 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Arjun Narayan trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Andreas Haeberlen
  4. Ilya Mironov
  5. Srinath T. V. Setty
  6. Justin Thaler
  7. Benjamin C. Pierce
  8. Kobbi Nissim
  9. Jason Reed
  10. Arvind Narayanan

Who trusts Arjun Narayan overall

  1. Antonis Papadimitriou
  2. Noah M. Johnson
  3. Andreas Haeberlen
  4. Edo Roth
  5. Tejas D. Kulkarni
  6. Gilles Barthe
  7. Joseph P. Near
  8. Danfeng Zhang
  9. Ariel J. Feldman
  10. Briland Hitaj

Papers from Arjun Narayan's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Differential Privacy
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Differential Privacy: A Survey of Results
  6. Practical privacy: the SuLQ framework
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Our Data, Ourselves: Privacy Via Distributed Noise Generation
  10. Learning Multiple Layers of Features from Tiny Images

Their papers