David J. Martin

Artificial Intelligence · 2007

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

Subfields

Whom David J. Martin trusts overall

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

  1. Latanya Sweeney
  2. Pierangela Samarati
  3. Xiaokui Xiao
  4. Kristen LeFevre
  5. Daniel Kifer
  6. Johannes Gehrke
  7. Yufei Tao
  8. Rakesh Agrawal
  9. David J. DeWitt
  10. Charu C. Aggarwal

Who trusts David J. Martin overall

  1. Michael Hay
  2. Raymond Chi-Wing Wong
  3. Srivatsava Ranjit Ganta
  4. Tiancheng Li
  5. Gerome Miklau
  6. Ada Wai-Chee Fu
  7. Ashwin Machanavajjhala

Papers from David J. Martin's perspective

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

  1. k-Anonymity: A Model for Protecting Privacy
  2. On the design and quantification of privacy preserving data mining algorithms
  3. Privacy Preserving Data Mining
  4. Protecting Respondents' Identities in Microdata Release
  5. Data privacy through optimal k-anonymization (IEEE International Conference on Data Engineering)
  6. L-diversity: privacy beyond k-anonymity
  7. Incognito: efficient full-domain K-anonymity (ACM SIGMOD Conference)
  8. Revealing information while preserving privacy
  9. Anatomy: simple and effective privacy preservation (Very Large Data Bases Conference)
  10. Toward Privacy in Public Databases

Their papers