Wenbin Chen

Artificial Intelligence · with Li · 2017

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

• Artificial Intelligence — 20 citations into it
• Privacy & Security — 7 citations into it

Whom Wenbin Chen trusts overall

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

1. Craig Gentry

Papers from Wenbin Chen's perspective

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

1. Fully homomorphic encryption using ideal lattices
2. (Leveled) Fully Homomorphic Encryption without Bootstrapping
3. Evaluating 2-DNF Formulas on Ciphertexts
4. Fair exchange with a semi-trusted third party (extended abstract)
5. Privacy Preserving Back-Propagation Neural Network Learning Made Practical with Cloud Computing
6. ML Confidential: Machine Learning on Encrypted Data
7. Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning
8. Privacy-preserving deep learning
9. Privacy preserving association rule mining in vertically partitioned data
10. Speech recognition with deep recurrent neural networks

Their papers

• Privacy-preserving outsourced classification in cloud computing (2017) — 317 citations