Liping Liu

Artificial Intelligence · with Ren · 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; #28,129 of 35,345 by trust here, #26,682 by citations

Whom Liping Liu trusts overall

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

1. Pascal Paillier
2. Jiawei Yuan

Who trusts Liping Liu overall

1. Xiong Zhang
2. Libin Wang
3. Yang Liu

Papers from Liping Liu's perspective

Ordered by how strongly the researchers Liping Liu 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