Dan Zhang

Artificial Intelligence · with Hay · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Dan Zhang trusts overall

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

  1. Frank McSherry
  2. Michael Hay
  3. Chao Li
  4. Cynthia Dwork
  5. Gerome Miklau
  6. Graham Cormode
  7. Ilya Mironov
  8. Xiaokui Xiao
  9. Moritz Hardt
  10. Oliver Williams

Who trusts Dan Zhang overall

  1. Ashwin Machanavajjhala
  2. Michael Hay
  3. Gerome Miklau
  4. Ryan McKenna

Papers from Dan Zhang's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Privacy integrated queries: an extensible platform for privacy-preserving data analysis
  3. A firm foundation for private data analysis
  4. Differential privacy via wavelet transforms
  5. Differentially private recommender systems: building privacy into the net
  6. Differential Privacy: A Survey of Results
  7. A Simple and Practical Algorithm for Differentially Private Data Release
  8. Privacy, accuracy, and consistency too: a holistic solution to contingency table release
  9. Smooth sensitivity and sampling in private data analysis
  10. An Adaptive Mechanism for Accurate Query Answering under Differential Privacy

Their papers