Zheng-an Huang
Artificial Intelligence · 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 Zheng-an Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Zheng-an Huang's perspective
Ordered by how strongly the researchers Zheng-an Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Fully homomorphic encryption using ideal lattices
- (Leveled) Fully Homomorphic Encryption without Bootstrapping
- Evaluating 2-DNF Formulas on Ciphertexts
- Fair exchange with a semi-trusted third party (extended abstract)
- Speech recognition with deep recurrent neural networks
- Privacy Preserving Back-Propagation Neural Network Learning Made Practical with Cloud Computing
- ML Confidential: Machine Learning on Encrypted Data
- Privacy preserving association rule mining in vertically partitioned data
- Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning
- Privacy-preserving deep learning
Their papers
- Privacy-preserving outsourced classification in cloud computing (2017) — 317 citations