James Bell

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 5 papers; trusts 32 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom James Bell trusts overall

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

  1. Borja Balle
  2. Albert Cheu
  3. Yehuda Lindell
  4. Badih Ghazi
  5. Oded Goldreich
  6. Cynthia Dwork
  7. Adam D. Smith
  8. Gilles Barthe
  9. Kobbi Nissim
  10. Peter Kairouz

Who trusts James Bell overall

  1. Badih Ghazi
  2. Peter Kairouz
  3. Albert Cheu
  4. Edwige Cyffers
  5. Victor Balcer
  6. Borja Balle
  7. Aurélien Bellet
  8. Pasin Manurangsi
  9. Ravi Kumar
  10. Ken Ziyu Liu

Papers from James Bell's perspective

Ordered by how strongly the researchers James Bell 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. The Privacy Blanket of the Shuffle Model
  6. Our Data, Ourselves: Privacy Via Distributed Noise Generation
  7. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
  8. Practical Secure Aggregation for Privacy-Preserving Machine Learning
  9. Deep Learning with Differential Privacy
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers