Sara Foresti

Artificial Intelligence · 2007–2008

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sara Foresti trusts overall

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

  1. Charu C. Aggarwal
  2. Rakesh Agrawal
  3. Gerome Miklau
  4. Roberto J. Bayardo Jr.
  5. Adam Meyerson
  6. Pierangela Samarati

Who trusts Sara Foresti overall

  1. Shucheng Yu
  2. Jiawei Yuan
  3. Arvind Narayanan
  4. Kui Ren
  5. Ming Li
  6. Alina Campan

Papers from Sara Foresti's perspective

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

  1. On the design and quantification of privacy preserving data mining algorithms
  2. Data privacy through optimal k-anonymization (IEEE International Conference on Data Engineering)
  3. Executing SQL over encrypted data in the database-service-provider model (ACM SIGMOD Conference)
  4. On Private Scalar Product Computation for Privacy-Preserving Data Mining
  5. Protecting Respondents' Identities in Microdata Release
  6. On the complexity of optimal K-anonymity (ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems)
  7. Mondrian Multidimensional K-Anonymity (IEEE International Conference on Data Engineering)
  8. Privacy preserving mining of association rules
  9. Privacy Preserving Data Mining
  10. Fast Algorithms for Mining Association Rules

Their papers