Jun Tang

Artificial Intelligence · with Wang · 2017

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 Jun Tang trusts overall

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

  1. Cynthia Dwork
  2. Alexandra Wood
  3. Ilya Mironov
  4. Abhradeep Thakurta

Who trusts Jun Tang overall

  1. Klas Leino
  2. Mohammad Malekzadeh
  3. Ning Wang
  4. Vasyl Pihur
  5. Yang Zhao
  6. Ú. Erlingsson
  7. Matt Fredrikson
  8. Aleksandra Korolova
  9. Richard G. Clegg

Papers from Jun Tang's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. A firm foundation for private data analysis
  3. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
  4. The Algorithmic Foundations of Differential Privacy
  5. On significance of the least significant bits for differential privacy
  6. Proving Differential Privacy via Probabilistic Couplings
  7. Differential Privacy: An Economic Method for Choosing Epsilon
  8. Differential Privacy: A Primer for a Non-Technical Audience
  9. Privacy in Information-Rich Intelligent Infrastructure
  10. Differential Privacy: From Theory to Deployment

Their papers