Shengwen Yang

Artificial Intelligence · 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

Whom Shengwen Yang trusts overall

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

  1. Pascal Paillier
  2. Jiawei Yuan
  3. Yoshinori Aono
  4. Abbas Acar
  5. Shucheng Yu
  6. Takuya Hayashi
  7. Hidayet Aksu
  8. Stephen Hardy

Who trusts Shengwen Yang overall

  1. Yang Liu
  2. Xiong Zhang

Papers from Shengwen Yang's perspective

Ordered by how strongly the researchers Shengwen Yang 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