Kyonghwan Yoon
Privacy & Security · 2018
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
- Privacy & Security — 15 citations into it
Whom Kyonghwan Yoon trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Pascal Paillier (in Privacy & Security)
Papers from Kyonghwan Yoon's perspective
Ordered by how strongly the researchers Kyonghwan Yoon 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
- Privacy-Preserving Ridge Regression on Hundreds of Millions of Records
- Differential Privacy
- A Proof of Security of Yao’s Protocol for Two-Party Computation
- On Private Scalar Product Computation for Privacy-Preserving Data Mining
Their papers
- Privacy-Preserving Ridge Regression with only Linearly-Homomorphic Encryption (2018) — 103 citations