Paul Francis

Artificial Intelligence · 2001–2013

A researcher in the Science corpus: 8 papers; trusts 19 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Francis trusts overall

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

  1. Cynthia Dwork
  2. Shafi Goldwasser
  3. Frank McSherry
  4. Silvio Micali
  5. Vibhor Rastogi
  6. Pascal Paillier
  7. Latanya Sweeney
  8. Ruichuan Chen
  9. Elaine Shi
  10. Johannes Gehrke

Who trusts Paul Francis overall

  1. Sylvia Ratnasamy
  2. Beverly Yang
  3. Ion Stoica
  4. Miguel Oom Temudo de Castro
  5. Antony Ian Taylor Rowstron
  6. Arjun Narayan
  7. Hector Garcia-Molina
  8. Krishna P. Gummadi
  9. Sepandar D. Kamvar
  10. Anne-Marie Kermarrec

Papers from Paul Francis's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Differential Privacy
  3. Differentially private recommender systems: building privacy into the net
  4. Practical privacy: the SuLQ framework
  5. Untraceable electronic mail, return addresses, and digital pseudonyms
  6. Privacy, accuracy, and consistency too: a holistic solution to contingency table release
  7. Limiting privacy breaches in privacy preserving data mining
  8. Probabilistic Encryption
  9. Our Data, Ourselves: Privacy Via Distributed Noise Generation
  10. A learning theory approach to non-interactive database privacy

Their papers