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AI · September 1, 2021

6-min Intro to End-to-End Encryption

How homomorphic encryption will change privacy online.

6-min Intro to End-to-End Encryption launched on September 1, 2021 with 27 votes, #1,112 of 2,940 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 5 years on.

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What it does

Data theft is growing at an unprecedented rate — we need end to end encryption now more than ever. Fully Homomorphic Encryption is a technology that enables processing data without decrypting it. Try it out for yourself in our free 6-minute introduction.

A 6 minute introduction on Fully Homomorphic Encryption (FHE), enabling computations on encrypted data without decryption. Secure your sensitive data effortlessly!

Take a deep dive into FHE, the holy grail of cryptography, and how it can solve blockchain confidentiality challenges. Encryption has been used for thousands of years to send secret messages. One early method is the Caesar cipher from 60 BC, which swaps letters in the alphabet. With the internet, we generate a lot of private data, leading to more data breaches and surveillance. To protect our data, we now use advanced encryption, like end-to-end encryption in everyday apps. But how does end-to-end encryption work? And how will it change the internet? FHE enables data processing without decryption—companies provide services without accessing user data, while users experience unchanged…from zama.org

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  • RW
    Read Wikipedia privately using homomorphic encryption2022 · spiralwiki.com · ▲331

    Hi, creator here. This is a demo of our recent work presented at Oakland (IEEE S&P): https://eprint.iacr.org/2022/368. The server and client code are written in Rust and available here: https://github.com/menonsamir/spiral-rs. The general aim of our work is to show that homomorphic encryption is practical today for real-world applications. The server we use to serve this costs $35/month! A quick overview: the client uses homomorphic encryption to encrypt the article number that they would like to retrieve. The server processes the query and…

  • LightPHE: Lightweight Partially Homomorphic Encryption for Python2025 · github.com · ▲6

    Homomorphic encryption enables computations to be performed directly on encrypted data without requiring access to the private key. This allows data to be securely stored in the cloud while still being processed using the cloud’s computational power. Meanwhile, the cloud remains unaware of the actual data it is handling. Although fully homomorphic encryption has become available in recent years, when considering performance trade-offs, partially homomorphic encryption proves to be a more efficient and practical choice. It is significantly faster, requires fewer computational resources, and…

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