Stephen T. Joy

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen T. Joy trusts overall

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

  1. Cynthia Dwork
  2. Adam D. Smith
  3. Frank McSherry
  4. Shiva Prasad Kasiviswanathan
  5. Jerome P. Reiter
  6. Donald B. Rubin
  7. Latanya Sweeney
  8. Kobbi Nissim
  9. Jonathan Ullman
  10. Avrim Blum

Who trusts Stephen T. Joy overall

  1. Garrett Bernstein
  2. D. Sheldon
  3. James R. Foulds
  4. Joseph Geumlek
  5. Kamalika Chaudhuri
  6. Max Welling
  7. Nan Wu

Papers from Stephen T. Joy's perspective

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

  1. Revealing information while preserving privacy
  2. Calibrating Noise to Sensitivity in Private Data Analysis
  3. Differential Privacy
  4. Towards Sharp Inapproximability For Any 2-CSP
  5. Differentially private recommender systems: building privacy into the net
  6. Privacy-Preserving Datamining on Vertically Partitioned Databases
  7. Boosting and Differential Privacy
  8. Security-control methods for statistical databases: a comparative study
  9. Limiting privacy breaches in privacy preserving data mining
  10. Privacy, accuracy, and consistency too: a holistic solution to contingency table release

Their papers