Chenghong Wang

Artificial Intelligence · 2019

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 Chenghong Wang trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Michael Kearns
  4. Pascal Paillier
  5. Vibhor Rastogi
  6. Ilya Mironov
  7. Kobbi Nissim
  8. Yehuda Lindell
  9. Ú. Erlingsson
  10. Valeria Nikolaenko

Who trusts Chenghong Wang overall

  1. Tianhao Wang

Papers from Chenghong Wang's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Our Data, Ourselves: Privacy Via Distributed Noise Generation
  3. Boosting and Differential Privacy
  4. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
  5. The Algorithmic Foundations of Differential Privacy
  6. Privacy integrated queries: an extensible platform for privacy-preserving data analysis
  7. Differential Privacy
  8. Revealing information while preserving privacy
  9. What Can We Learn Privately?
  10. Computational Differential Privacy

Their papers