Or Sheffet

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 7 papers; trusts 59 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Or Sheffet trusts overall

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

  1. Cynthia Dwork
  2. Kobbi Nissim
  3. Adam D. Smith
  4. Raef Bassily
  5. Ú. Erlingsson
  6. Frank McSherry
  7. Shiva Prasad Kasiviswanathan
  8. Uri Stemmer
  9. Mark Bun
  10. Moritz Hardt

Who trusts Or Sheffet overall

  1. Jayadev Acharya
  2. Clément Louis Canonne
  3. Quan Geng
  4. Marco Gaboardi
  5. Himanshu Tyagi
  6. Wei Ding
  7. Ziteng Sun
  8. Gautam Kamath
  9. Thomas B. Berrett
  10. Ryan M. Rogers

Papers from Or Sheffet's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. ImageNet classification with deep convolutional neural networks
  5. Revealing information while preserving privacy
  6. Differential Privacy
  7. Learning Multiple Layers of Features from Tiny Images
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Differentially private recommender systems: building privacy into the net
  10. Towards Sharp Inapproximability For Any 2-CSP

Their papers