Haim Kaplan

Artificial Intelligence · 2002–2019

A researcher in the Science corpus: 7 papers; trusts 14 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Haim Kaplan trusts overall

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

  1. Mikkel Thorup
  2. Cynthia Dwork
  3. Andrew Vladislav Goldberg
  4. Sariel Har-Peled
  5. Robert D. Kleinberg
  6. Kobbi Nissim
  7. Peter Sanders
  8. Frank McSherry
  9. Pankaj Kumar Agarwal
  10. Avrim Blum

Who trusts Haim Kaplan overall

  1. Paul Dütting
  2. Daniel Delling
  3. Peter Sanders
  4. Robert Geisberger
  5. Michalis Potamias
  6. Silvio Lattanzi
  7. Dominik Schultes
  8. Thomas Steinke

Papers from Haim Kaplan's perspective

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

  1. Revealing information while preserving privacy
  2. Differential Privacy
  3. Privacy-Preserving Datamining on Vertically Partitioned Databases
  4. Limiting privacy breaches in privacy preserving data mining
  5. Calibrating Noise to Sensitivity in Private Data Analysis
  6. Privacy, accuracy, and consistency too: a holistic solution to contingency table release
  7. Distance labeling in graphs (ACM-SIAM Symposium on Discrete Algorithms)
  8. Privacy via pseudorandom sketches
  9. Practical privacy: the SuLQ framework
  10. New Efficient Attacks on Statistical Disclosure Control Mechanisms

Their papers