Nicholas Genise

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Computational Theory and Mathematics — 32 citations into it
• Privacy & Security — 10 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Nicholas Genise trusts overall

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

1. Daniele Micciancio
2. Oded Regev
3. Chris Peikert
4. Craig Gentry
5. Martin R. Albrecht
6. Roman Vershynin
7. Vadim Lyubashevsky
8. Rachel Player
9. Zvika Brakerski
10. Léo Ducas

Papers from Nicholas Genise's perspective

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

1. A fully homomorphic encryption scheme
2. On Ideal Lattices and Learning with Errors over Rings
3. Fully homomorphic encryption using ideal lattices
4. Fully Homomorphic Encryption from Ring-LWE and Security for Key Dependent Messages
5. Trapdoors for Lattices: Simpler, Tighter, Faster, Smaller (IACR Cryptology ePrint Archive)
6. Homomorphic Encryption from Learning with Errors: Conceptually-Simpler, Asymptotically-Faster, Attribute-Based
7. Algorithms in HElib (Annual International Cryptology Conference)
8. Lattice Signatures and Bimodal Gaussians (IACR Cryptology ePrint Archive)
9. On lattices, learning with errors, random linear codes, and cryptography (JACM)
10. On the concrete hardness of Learning with Errors

Their papers

• OpenFHE: Open-Source Fully Homomorphic Encryption Library (2022) — 451 citations
• F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (2021) — 375 citations
• Improved Discrete Gaussian and Subgaussian Analysis for Lattice Cryptography (2020) — 51 citations