Yun Shen

Artificial Intelligence · with Mowbray · 2009

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yun Shen trusts overall

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

  1. Craig Gentry
  2. Jaideep Vaidya
  3. Rakesh Agrawal
  4. Dan Boneh

Papers from Yun Shen's perspective

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

  1. Fair exchange with a semi-trusted third party (extended abstract)
  2. ON DATA BANKS AND PRIVACY HOMOMORPHISMS
  3. Fully homomorphic encryption using ideal lattices
  4. Privacy Preserving Data Mining
  5. Identity-Based Encryption from the Weil Pairing
  6. Evaluating 2-DNF Formulas on Ciphertexts
  7. Hippocratic Databases (Very Large Data Bases Conference)
  8. Controlling Access to Published Data Using Cryptography (Very Large Data Bases Conference)
  9. MapReduce: simplified data processing on large clusters
  10. Towards accountable management of identity and privacy: sticky policies and enforceable tracing services (14th International Workshop on Database and Expert Systems Applications, 2003. Proceedings.)

Their papers