Kevin Heung

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Heung trusts overall

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

  1. Cynthia Dwork
  2. Pascal Paillier
  3. Zvika Brakerski
  4. Dan Boneh
  5. Arpita Ghosh
  6. Elaine Shi
  7. Rongxing Lu

Who trusts Kevin Heung overall

  1. Cheol-Ho Hong
  2. Jianbing Ni
  3. Ju Ren

Papers from Kevin Heung's perspective

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

  1. Differential Privacy
  2. Evaluating 2-DNF Formulas on Ciphertexts
  3. Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
  4. Universally utility-maximizing privacy mechanisms
  5. Privacy-Preserving Aggregation of Time-Series Data
  6. Fully Homomorphic Encryption from Ring-LWE and Security for Key Dependent Messages
  7. Fog Computing: Helping the Internet of Things Realize Its Potential (Computer)
  8. Privacy-Preserving Stream Aggregation with Fault Tolerance
  9. EPPA: An Efficient and Privacy-Preserving Aggregation Scheme for Secure Smart Grid Communications
  10. Calibrating Noise to Sensitivity in Private Data Analysis

Their papers