Cho-Chun Chiu

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cho-Chun Chiu trusts overall

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

  1. Cynthia Dwork
  2. Kamalika Chaudhuri
  3. Michael Hay
  4. Arpita Ghosh
  5. William M. Waite
  6. Frank McSherry
  7. Kobbi Nissim
  8. Ilya Mironov
  9. Vibhor Rastogi
  10. Claire Monteleoni

Papers from Cho-Chun Chiu's perspective

Ordered by how strongly the researchers Cho-Chun Chiu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Differentially Private Empirical Risk Minimization
  3. Differentially private data cubes: optimizing noise sources and consistency
  4. Universally utility-maximizing privacy mechanisms
  5. A Simple and Practical Algorithm for Differentially Private Data Release
  6. Differential Privacy
  7. Et al
  8. Optimizing linear counting queries under differential privacy
  9. On significance of the least significant bits for differential privacy
  10. Differentially private recommender systems: building privacy into the net

Their papers