Assimakis A. Kattis

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Assimakis A. Kattis trusts overall

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

  1. Aleksandar Nikolov
  2. Cynthia Dwork
  3. Kobbi Nissim
  4. Kunal Talwar
  5. Aditya Bhaskara
  6. Michael Kearns
  7. Mark Bun
  8. Daniel Dadush
  9. Thomas Steinke
  10. Frank McSherry

Papers from Assimakis A. Kattis's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Privacy-Preserving Datamining on Vertically Partitioned Databases
  3. Efficient noise-tolerant learning from statistical queries
  4. The geometry of differential privacy: the sparse and approximate cases
  5. Between Pure and Approximate Differential Privacy
  6. Revealing information while preserving privacy
  7. An Improved Private Mechanism for Small Databases
  8. Lower Bounds in Differential Privacy
  9. On the geometry of differential privacy
  10. Differentially Private Release and Learning of Threshold Functions

Their papers