Ta Duy Hoang

Artificial Intelligence · 2018

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 Ta Duy Hoang trusts overall

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

  1. Frank McSherry
  2. John C. Duchi

Papers from Ta Duy Hoang's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Randomized response: a survey technique for eliminating evasive answer bias.
  3. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
  4. Privacy integrated queries: an extensible platform for privacy-preserving data analysis
  5. Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries
  6. Local Privacy and Statistical Minimax Rates
  7. Extremal Mechanisms for Local Differential Privacy
  8. Heavy Hitters
  9. Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12
  10. Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy

Their papers