Huimin Lin

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Huimin Lin trusts overall

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

  1. Jason Reed
  2. Kim Guldstrand Larsen

Who trusts Huimin Lin overall

  1. Danfeng Zhang

Papers from Huimin Lin's perspective

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

  1. Differential Privacy
  2. Linear dependent types for differential privacy
  3. Probabilistic relational reasoning for differential privacy
  4. De-anonymizing social networks
  5. Privacy: Theory meets Practice on the Map
  6. Bisimulation through Probabilistic Testing
  7. Distance makes the types grow stronger: a calculus for differential privacy
  8. Broadening the Scope of Differential Privacy Using Metrics
  9. Private and Continual Release of Statistics
  10. Calibrating Noise to Sensitivity in Private Data Analysis

Their papers