José Castro

2007

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom José Castro trusts overall

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

  1. Pascal Paillier
  2. Emanuel Parzen
  3. Jaideep Vaidya
  4. Wenliang Du

Papers from José Castro's perspective

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

  1. Privacy Preserving Naïve Bayes Classifier for Vertically Partitioned Data
  2. Fair exchange with a semi-trusted third party (extended abstract)
  3. Building decision tree classifier on private data
  4. Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
  5. On Estimation of a Probability Density Function and Mode
  6. Probabilistic neural networks
  7. On the design and quantification of privacy preserving data mining algorithms
  8. On Private Scalar Product Computation for Privacy-Preserving Data Mining
  9. Protocols for secure computations
  10. A method for obtaining digital signatures and public-key cryptosystems

Their papers