Kazuya Kakizaki

Artificial Intelligence · 2017

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 Kazuya Kakizaki trusts overall

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

  1. Caroline Uhler
  2. Stephen E. Fienberg
  3. Moritz Hardt
  4. Aleksandra B. Slavkovic
  5. Min Lyu
  6. Chao Li
  7. Frank McSherry
  8. Cynthia Dwork
  9. Katrina Ligett
  10. Dong Su

Who trusts Kazuya Kakizaki overall

  1. Gautam Kamath

Papers from Kazuya Kakizaki's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. A Simple and Practical Algorithm for Differentially Private Data Release
  3. Privacy-Preserving Data Sharing for Genome-Wide Association Studies
  4. Privacy Preserving GWAS Data Sharing
  5. Optimizing linear counting queries under differential privacy
  6. Priv'IT: Private and Sample Efficient Identity Testing
  7. Differentially Private Empirical Risk Minimization
  8. Differentially private recommender systems: building privacy into the net
  9. Understanding the Sparse Vector Technique for Differential Privacy
  10. Smooth sensitivity and sampling in private data analysis

Their papers