Charlotte Bonte

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Privacy & Security — 6 citations into it

Whom Charlotte Bonte trusts overall

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

1. Junfeng Fan
2. Niv Gilboa
3. Frederik Vercauteren
4. Kristin E. Lauter
5. Vadim Lyubashevsky
6. Joppe W. Bos
7. Chris Peikert
8. Miran Kim
9. Michael Naehrig
10. Nathan Dowlin

Who trusts Charlotte Bonte overall

1. Yaochen Hu

Papers from Charlotte Bonte's perspective

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

1. On Ideal Lattices and Learning with Errors over Rings
2. Can homomorphic encryption be practical?
3. Improved Security for a Ring-Based Fully Homomorphic Encryption Scheme
4. CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
5. Somewhat Practical Fully Homomorphic Encryption
6. Fully homomorphic encryption using ideal lattices
7. Scalable and Secure Logistic Regression via Homomorphic Encryption
8. Better Key Sizes (and Attacks) for LWE-Based Encryption
9. Two Party RSA Key Generation
10. How To Exchange Secrets with Oblivious Transfer

Their papers

• Towards practical privacy-preserving genome-wide association study (2018) — 35 citations
• Privacy-preserving logistic regression training (2018) — 109 citations