David J. DeWitt

Artificial Intelligence · 2000–2018

A researcher in the Science corpus: 10 papers; trusts 16 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

Whom David J. DeWitt trusts overall

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

  1. Pierangela Samarati
  2. Ke Wang
  3. Roberto J. Bayardo Jr.
  4. Latanya Sweeney
  5. Benjamin C. M. Fung
  6. Philip S. Yu
  7. Rakesh Agrawal
  8. Adam Meyerson
  9. Gagan Aggarwal
  10. Muthu Dayalan

Who trusts David J. DeWitt overall

  1. Xiaokui Xiao
  2. Yufei Tao
  3. Ninghui Li
  4. Tiancheng Li
  5. Charu C. Aggarwal
  6. Mohamed F. Mokbel
  7. Mehmet Ercan Nergiz
  8. Manolis Terrovitis
  9. Benjamin C. M. Fung
  10. Panos Kalnis

Papers from David J. DeWitt's perspective

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

  1. k-Anonymity: A Model for Protecting Privacy
  2. Protecting Respondents' Identities in Microdata Release
  3. Data privacy through optimal k-anonymization (IEEE International Conference on Data Engineering)
  4. Toward Privacy in Public Databases
  5. On the complexity of optimal K-anonymity (ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems)
  6. Transforming data to satisfy privacy constraints (Knowledge Discovery and Data Mining)
  7. UCI Repository of machine learning databases
  8. Achieving k-Anonymity Privacy Protection Using Generalization and Suppression
  9. Bottom-up generalization: a data mining solution to privacy protection (Industrial Conference on Data Mining)
  10. Incognito: efficient full-domain K-anonymity (ACM SIGMOD Conference)

Their papers