Ke Xiao

Artificial Intelligence · with Cheng · 2016

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

Subfields

Whom Ke Xiao trusts overall

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

  1. Cynthia Dwork

Papers from Ke Xiao's perspective

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

  1. Differential Privacy
  2. PrivBasis: Frequent Itemset Mining with Differential Privacy
  3. Mining frequent patterns without candidate generation
  4. Differentially private recommender systems: building privacy into the net
  5. Revealing information while preserving privacy
  6. Calibrating Noise to Sensitivity in Private Data Analysis
  7. Privacy, accuracy, and consistency too: a holistic solution to contingency table release
  8. Towards Sharp Inapproximability For Any 2-CSP
  9. Practical privacy: the SuLQ framework
  10. Privacy-Preserving Datamining on Vertically Partitioned Databases

Their papers