Aaron Johnson

Artificial Intelligence · with Sherr · 2013–2018

A researcher in the Science corpus: 4 papers; trusts 37 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Aaron Johnson trusts overall

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

  1. Frank McSherry
  2. Cynthia Dwork
  3. Latanya Sweeney
  4. Per Austrin
  5. Kobbi Nissim
  6. Lixin Gao
  7. Ashwin Machanavajjhala
  8. Ninghui Li
  9. Stephen E. Fienberg
  10. Grigorios Loukides

Who trusts Aaron Johnson overall

  1. Yue Wang
  2. Sean K. Simmons
  3. Fei Yu
  4. Daniel Kifer
  5. Marco Gaboardi
  6. Ryan M. Rogers
  7. Jing Lei
  8. Jaewoo Lee
  9. Bonnie Berger
  10. Zhanglong Ji

Papers from Aaron Johnson's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Smooth sensitivity and sampling in private data analysis
  3. Differentially private recommender systems: building privacy into the net
  4. L-diversity: privacy beyond k-anonymity
  5. Our Data, Ourselves: Privacy Via Distributed Noise Generation
  6. Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarrays
  7. The Algorithmic Foundations of Differential Privacy
  8. Towards Sharp Inapproximability For Any 2-CSP
  9. Revealing information while preserving privacy
  10. Differential Privacy

Their papers