David Froelicher

Artificial Intelligence · 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 David Froelicher trusts overall

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

  1. Andrew Neff
  2. Cynthia Dwork
  3. Amos Fiat
  4. Raluca Ada Popa
  5. Xuefeng Liu
  6. Frank McSherry
  7. Jan Camenisch
  8. Adi Shamir

Papers from David Froelicher's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. How to Prove Yourself: Practical Solutions to Identification and Signature Problems
  3. Our Data, Ourselves: Privacy Via Distributed Noise Generation
  4. CryptDB: protecting confidentiality with encrypted query processing (Symposium on Operating Systems Principles)
  5. A firm foundation for private data analysis
  6. ObliVM: A Programming Framework for Secure Computation
  7. GraphSC: Parallel Secure Computation Made Easy
  8. Observing and Preventing Leakage in MapReduce
  9. VC3: Trustworthy Data Analytics in the Cloud Using SGX
  10. Efficient Garbling from a Fixed-Key Blockcipher

Their papers