Jeffrey F. Naughton

Artificial Intelligence · 2000–2016

A researcher in the Science corpus: 10 papers; trusts 13 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Jeffrey F. Naughton trusts overall

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

  1. Johannes Gehrke
  2. Vinayak R. Borkar
  3. Cynthia Dwork
  4. Philippe Bonnet
  5. Alin Dobra
  6. Anna C. Gilbert
  7. Kaushik Chakrabarti
  8. Minos N. Garofalakis
  9. Samuel Madden
  10. Matt Fredrikson

Who trusts Jeffrey F. Naughton overall

  1. Mohammed J. Zaki
  2. Lukasz Golab
  3. Sanjay Krishnan
  4. Wolfgang Meier
  5. Arvind Arasu
  6. Brian Babcock
  7. M. Tamer Özsu
  8. Quanzhong Li
  9. Charu C. Aggarwal
  10. Anshumali Shrivastava

Papers from Jeffrey F. Naughton's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. On computing correlated aggregates over continual data streams (ACM SIGMOD Conference)
  3. Revealing information while preserving privacy
  4. Approximate query processing using wavelets (The VLDB journal)
  5. Differentially Private Empirical Risk Minimization
  6. Deep Learning with Differential Privacy
  7. Surfing Wavelets on Streams: One-Pass Summaries for Approximate Aggregate Queries (Very Large Data Bases Conference)
  8. Eddies: continuously adaptive query processing (ACM SIGMOD Conference)
  9. The Algorithmic Foundations of Differential Privacy
  10. Continuous queries over data streams (SGMD)

Their papers