# Differential Privacy

A mathematically rigorous definition and framework for quantifying privacy risk and enabling privacy-preserving data analysis.

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## Fully Homomorphic Encryption in Production Systems

DevFeed: [Fully Homomorphic Encryption in Production Systems](<https://devfeed.tech/articles/fully-homomorphic-encryption-in-production-systems-40498.md>)

Original publisher: [Read original article](<https://www.jeremykun.com/fhe-in-production/>)

Published: 2024-07-31T07:00:00Z

Content type: article

Language: en

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

Topics: [homomorphic encryption](<https://devfeed.tech/topics/homomorphic-encryption.md>), [FHE](<https://devfeed.tech/topics/fhe.md>), [Encryption](<https://devfeed.tech/topics/encryption.md>), [Cryptography](<https://devfeed.tech/topics/cryptography.md>), [Edge](<https://devfeed.tech/topics/edge.md>), [Microsoft](<https://devfeed.tech/topics/microsoft.md>), [iOS](<https://devfeed.tech/topics/ios.md>), [Differential Privacy](<https://devfeed.tech/topics/differential-privacy.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [clustering](<https://devfeed.tech/topics/clustering.md>), [Library](<https://devfeed.tech/topics/library.md>)

Tags: [apple](<https://devfeed.tech/tags/apple.md>), [clustering](<https://devfeed.tech/tags/clustering.md>), [cryptography](<https://devfeed.tech/tags/cryptography.md>), [differential-privacy](<https://devfeed.tech/tags/differential-privacy.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [encryption](<https://devfeed.tech/tags/encryption.md>), [fhe](<https://devfeed.tech/tags/fhe.md>), [homomorphic-encryption](<https://devfeed.tech/tags/homomorphic-encryption.md>), [ios](<https://devfeed.tech/tags/ios.md>), [library](<https://devfeed.tech/tags/library.md>), [mathematics](<https://devfeed.tech/tags/mathematics.md>), [microsoft-edge](<https://devfeed.tech/tags/microsoft-edge.md>), [programming](<https://devfeed.tech/tags/programming.md>), [systems](<https://devfeed.tech/tags/systems.md>)

### AI overview

A living document catalogs production systems known to use fully or somewhat homomorphic encryption. It describes deployments and techniques involving Microsoft Edge password checking, Apple's Live Caller ID Lookup, and Apple's private image search, while distinguishing FHE from SHE.

### Source excerpt

In this living document, I will list all production systems I'm aware of that use fully homomorphic encryption (FHE). For background on FHE, see my overview of the field. If you have any information about production FHE systems not in this list, or corrections to information in this list, please send me an email with sufficient detail allow the claim to be publicly verified. For all production deployments, I will distinguish between cases where the deployed system does "fully" homomorphic encryption (with bootstrapping), aka FHE, and "somewhat" homomorphic encryption, aka SHE (avoiding bootstrapping).