C. D. Page
Privacy & Security · 2009–2018
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Privacy & Security — 15 citations into it
Whom C. D. Page trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from C. D. Page's perspective
Ordered by how strongly the researchers C. D. Page trusts endorse each paper. Same corpus, a different order for every researcher.
- Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
- Privacy Preserving Data Mining
- Fair exchange with a semi-trusted third party (extended abstract)
- Fully homomorphic encryption using ideal lattices
- Completeness theorems for non-cryptographic fault-tolerant distributed computation
- On lattices, learning with errors, random linear codes, and cryptography
- Differential Privacy
- Privacy-Preserving Ridge Regression on Hundreds of Millions of Records
- On Private Scalar Product Computation for Privacy-Preserving Data Mining
- A Proof of Security of Yao’s Protocol for Two-Party Computation
Their papers
- Privacy-Preserving Ridge Regression with only Linearly-Homomorphic Encryption (2018) — 103 citations
- Human pluripotent stem cell-derived neural constructs for predicting neural toxicity (2015) — 299 citations
- Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings. (2009) — 86 citations