Chia-Mu Yu

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chia-Mu Yu trusts overall

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

  1. Cynthia Dwork
  2. Raef Bassily
  3. Frank McSherry
  4. Ú. Erlingsson
  5. David Starobinski
  6. Adam D. Smith
  7. Ninghui Li
  8. Giulia C. Fanti
  9. Rui Chen

Papers from Chia-Mu Yu's perspective

Ordered by how strongly the researchers Chia-Mu Yu 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. The Algorithmic Foundations of Differential Privacy
  4. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
  5. Privacy integrated queries: an extensible platform for privacy-preserving data analysis
  6. Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries
  7. Heavy Hitters
  8. Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy
  9. Collecting Telemetry Data Privately
  10. Locally Differentially Private Protocols for Frequency Estimation

Their papers