Matthew Graham

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Graham trusts overall

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

  1. Ashwin Machanavajjhala

Papers from Matthew Graham's perspective

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

  1. Differential Privacy
  2. Smooth sensitivity and sampling in private data analysis
  3. No free lunch in data privacy
  4. L-diversity: privacy beyond k-anonymity
  5. Privacy: Theory meets Practice on the Map
  6. The Algorithmic Foundations of Differential Privacy
  7. Private analysis of graph structure (Proceedings of the VLDB Endowment)
  8. Broadening the Scope of Differential Privacy Using Metrics
  9. Geo-indistinguishability: differential privacy for location-based systems
  10. Blowfish privacy: tuning privacy-utility trade-offs using policies

Their papers