Julian Steil

2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Julian Steil trusts overall

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

  1. Cynthia Dwork
  2. Andreas Bulling
  3. Matt Fredrikson
  4. Aaron Roth
  5. Jamie A. Ward

Papers from Julian Steil's perspective

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

  1. The Algorithmic Foundations of Differential Privacy
  2. Eye Movement Analysis for Activity Recognition Using Electrooculography (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  3. Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing
  4. ImageNet classification with deep convolutional neural networks
  5. Revealing information while preserving privacy
  6. Calibrating Noise to Sensitivity in Private Data Analysis
  7. Differential Privacy
  8. Differentially Private Empirical Risk Minimization
  9. Membership Inference Attacks Against Machine Learning Models
  10. Gradient-based learning applied to document recognition

Their papers