Chong-zhi Gao

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Computational Theory and Mathematics — 19 citations into it
• Privacy & Security — 15 citations into it

Whom Chong-zhi Gao trusts overall

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

1. Craig Gentry

Papers from Chong-zhi Gao's perspective

Ordered by how strongly the researchers Chong-zhi Gao 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. Privacy preserving association rule mining in vertically partitioned data
5. Privacy Preserving Back-Propagation Neural Network Learning Made Practical with Cloud Computing
6. Fully Homomorphic Encryption over the Integers
7. Privacy-preserving Naïve Bayes classification
8. Privacy-Preserving Face Recognition (International Symposium on Privacy Enhancing Technologies)
9. Privacy-preserving decision trees over vertically partitioned data
10. A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud Data

Their papers

• Secure Multi-Party Computation: Theory, practice and applications (2019) — 436 citations
• Multi-key privacy-preserving deep learning in cloud computing (2017) — 452 citations
• Privacy-preserving outsourced classification in cloud computing (2017) — 317 citations