Mohamed Ali Kâafar

Artificial Intelligence · 2011–2019

A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed Ali Kâafar trusts overall

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

  1. Cynthia Dwork
  2. Kamalika Chaudhuri
  3. Lise Getoor
  4. Frank McSherry
  5. Jaideep Vaidya
  6. Moritz Hardt
  7. Elena Zheleva
  8. David M. Blei

Who trusts Mohamed Ali Kâafar overall

  1. Neil Zhenqiang Gong

Papers from Mohamed Ali Kâafar's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. ImageNet classification with deep convolutional neural networks
  3. Differentially Private Empirical Risk Minimization
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Latent Dirichlet Allocation
  6. Differentially private recommender systems: building privacy into the net
  7. Privacy Preserving Data Mining
  8. Gradient-based learning applied to document recognition
  9. Differential Privacy: A Survey of Results
  10. The Algorithmic Foundations of Differential Privacy

Their papers