# LWE Attack Benchmarking Project

DevFeed: [LWE Attack Benchmarking Project](<https://devfeed.tech/articles/lwe-attack-benchmarking-project-40510.md>)

Original publisher: [Read original article](<https://www.jeremykun.com/shortform/2024-10-15-1543/>)

Published: 2024-10-15T22:43:03Z

Content type: opinion

Language: en

Sources: [Jeremy Kun](<https://devfeed.tech/sources/jeremy-kun.md>)

Topics: [benchmarking](<https://devfeed.tech/topics/benchmarking.md>), [FHE](<https://devfeed.tech/topics/fhe.md>), [homomorphic encryption](<https://devfeed.tech/topics/homomorphic-encryption.md>), [Security](<https://devfeed.tech/topics/security.md>), [Transformer](<https://devfeed.tech/topics/transformer.md>)

Tags: [benchmark](<https://devfeed.tech/tags/benchmark.md>), [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [fhe](<https://devfeed.tech/tags/fhe.md>), [homomorphic-encryption](<https://devfeed.tech/tags/homomorphic-encryption.md>), [research](<https://devfeed.tech/tags/research.md>), [security](<https://devfeed.tech/tags/security.md>), [shortform](<https://devfeed.tech/tags/shortform.md>)

## AI overview

The article discusses a Facebook research project benchmarking attacks against learning with errors (LWE), motivated by the security implications of small, sparse secrets and errors in settings including Kyber and homomorphic encryption. It highlights a reported recovery of Hamming-weight-9 secrets in a specific homomorphic-encryption setting and notes that one attack is transformer-based.

## Source excerpt

Kristin Lauter and her colleagues at Facebook research recently announced a project to benchmark attacks against LWE. The announcement was on the post-quanum crypto mailing list. They state: "Our approach is motivated by the need to study more carefully the effect on security of using small secrets and small error in standardized LWE settings like Kyber and Homomorphic Encryption. In addition, as sparse secrets have been used in Homomorphic Encryption for efficiency and functionality, it is important to study sparse secrets as well.