B. Ren

Artificial Intelligence · with Liu · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #28,127 of 35,345 by trust here, #26,682 by citations

Whom B. Ren trusts overall

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

1. Pascal Paillier
2. Jiawei Yuan
3. Yoshinori Aono
4. Abbas Acar

Who trusts B. Ren overall

1. Yang Liu

Papers from B. Ren's perspective

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

1. Scalable and Secure Logistic Regression via Homomorphic Encryption
2. Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
3. Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
4. Towards Federated Learning at Scale: System Design
5. Privacy Preserving Back-Propagation Neural Network Learning Made Practical with Cloud Computing
6. A Survey on Homomorphic Encryption Schemes
7. CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
8. New Directions in Cryptography
9. Can homomorphic encryption be practical?
10. ON DATA BANKS AND PRIVACY HOMOMORPHISMS

Their papers

• Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator (2019) — 147 citations