M. Götz

Artificial Intelligence · with Gehrke · 2009–2016

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom M. Götz trusts overall

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

  1. Cynthia Dwork
  2. Justin Brickell
  3. Daniel Kifer
  4. Muthu Dayalan
  5. Frank McSherry
  6. Ashwin Machanavajjhala
  7. Johannes Gehrke
  8. Avrim Blum
  9. Kobbi Nissim
  10. Jiawei Han

Who trusts M. Götz overall

  1. Aleksandra Korolova
  2. Xiaokui Xiao
  3. Ninghui Li
  4. Krishnaram Kenthapadi
  5. Bolin Ding
  6. Raghav Bhaskar
  7. Guozhang Wang
  8. Royce J. Wilson
  9. Arun Rajkumar
  10. Johannes Gehrke

Papers from M. Götz's perspective

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

  1. L-diversity: privacy beyond k-anonymity
  2. Calibrating Noise to Sensitivity in Private Data Analysis
  3. Privacy, accuracy, and consistency too: a holistic solution to contingency table release
  4. Smooth sensitivity and sampling in private data analysis
  5. A learning theory approach to non-interactive database privacy
  6. Our Data, Ourselves: Privacy Via Distributed Noise Generation
  7. Revealing information while preserving privacy
  8. ImageNet classification with deep convolutional neural networks
  9. Injecting utility into anonymized datasets (SIGMOD Conference)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers