Noah M. Johnson

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Noah M. Johnson trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Kobbi Nissim
  4. Adam D. Smith
  5. Jeremiah Blocki
  6. Michael Hay
  7. Aaron Roth
  8. Moritz Hardt
  9. Avrim Blum
  10. Jing Lei

Who trusts Noah M. Johnson overall

  1. Tianhao Wang
  2. Ninghui Li
  3. Krishnaram Kenthapadi
  4. Ú. Erlingsson
  5. Somesh Jha
  6. Zhikun Zhang
  7. Royce J. Wilson
  8. Andrea Bittau
  9. Thanh T. L. Tran
  10. Petros Maniatis

Papers from Noah M. Johnson's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Differential Privacy
  3. Boosting and Differential Privacy
  4. Differentially private recommender systems: building privacy into the net
  5. Revealing information while preserving privacy
  6. Smooth sensitivity and sampling in private data analysis
  7. Pseudorandom Bits for Polynomials
  8. Accurate Estimation of the Degree Distribution of Private Networks
  9. The Algorithmic Foundations of Differential Privacy
  10. Toward Privacy in Public Databases

Their papers