Keewoo Lee
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it; #31,982 of 35,345 by trust here, #28,481 by citations
Whom Keewoo Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Keewoo Lee overall
Papers from Keewoo Lee's perspective
Ordered by how strongly the researchers Keewoo Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
- Scalable and Secure Logistic Regression via Homomorphic Encryption
- Privacy-Preserving Ridge Regression on Hundreds of Millions of Records
- SecureML: A System for Scalable Privacy-Preserving Machine Learning
- Fair exchange with a semi-trusted third party (extended abstract)
- Bootstrapping for Approximate Homomorphic Encryption (IACR Cryptology ePrint Archive)
- Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation
- PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers
- A method for solving the convex programming problem with convergence rate O(1/k^2)
- Deep Learning for Health Informatics
Their papers
- Logistic regression model training based on the approximate homomorphic encryption (2018) — 242 citations