Efficient Fully Homomorphic Encryption from (Standard) $\mathsf{LWE}$

By Zvika Brakerski, Vinod Vaikuntanathan. SIAM journal on computing (Print), 2014

344 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/f33dddd2c6f719825045c17ad47be62579c91b0f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Mauro Conti
2. Selcuk Uluagac
3. Hidayet Aksu
4. Abbas Acar
5. Shai Halevi
6. Brent Waters
7. Craig Gentry
8. Berk Sunar

In Computational Theory and Mathematics

1. Mauro Conti
2. Hidayet Aksu
3. Abbas Acar
4. Selcuk Uluagac
5. Shai Halevi
6. Brent Waters
7. Amit Sahai
8. Dan Boneh

Citations in the corpus

• A Survey on Homomorphic Encryption Schemes (2017, methodology): “For instance, it does not implement modern techniques (e.g., modulus reduction and re-linearization techniques [Brakerski and Vaikuntanathan 2014a]) to handle the noise level or it also does not support the SIMD techniques introduced in [Smart and Vercauteren 2014].”
• Homomorphic Encryption (2017, methodology): “[19, 16, 14] developed new techniques for better noise control.”