Bernhard Seefeld

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Bernhard Seefeld trusts

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

  1. Frank McSherry (in Artificial Intelligence)
  2. Cynthia Dwork (in Artificial Intelligence)

Who trusts Bernhard Seefeld

  1. Albert Cheu (in Artificial Intelligence)
  2. Jonathan Ullman (in Artificial Intelligence)

Papers from Bernhard Seefeld's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Airavat: Security and Privacy for MapReduce
  3. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
  4. The Algorithmic Foundations of Differential Privacy
  5. Deep Learning with Differential Privacy
  6. Robust De-anonymization of Large Sparse Datasets
  7. Randomized response: a survey technique for eliminating evasive answer bias.
  8. Privacy integrated queries: an extensible platform for privacy-preserving data analysis
  9. L-diversity: privacy beyond k-anonymity
  10. Composition attacks and auxiliary information in data privacy

Their papers