One (fhe) program, any chain With fully homomorphic encryption (FHE), we can bring privacy to existing applications and enable entirely new applications across finance, prediction markets, machine learning, and much more. To create privacy-preserving applications, we need a concept of "verifiable hidden state" so that users can protect their individual data while still
Featured A new vision for TFHE and compilers We re-imagine how computing should be done in FHE using a novel computing paradigm and develop a new FHE compiler design to realize the vision in which developers "bring their own program." Our 2nd gen compiler forms the foundation of our new vision, the "secure processing frameowrk."
Building a truly dark dark pool At Sunscreen, we've recently been spending time on private double auctions where the operators only learn of an order's details after the order has been matched (details of unsuccessful orders are never revealed, even to the operators!). Building upon our last demo, we showcase a truly
Building private verifiable auctions with FHE At Sunscreen, we're working to enable a new class of applications operating on private shared state via fully homomorphic encryption (FHE). These applications tend to have two requirements—input privacy (keeping inputs hidden even after the program is complete) as well as verifiability (how can we know for
Introducing Sunscreen's ZKP compiler This is a two part series! In part i, we looked at how ZKPs and FHE fit together and how existing ZK infrastructure falls short when working with FHE. In this part, we’ll be diving into how Sunscreen’s ZKP compiler works. Our ZKP compiler is aimed primarily at
How SNARKs fall short for FHE This is part i of a two part series! In this article, we’ll be motivating the need for new ZK tools when working with fully homomorphic encryption (FHE). At Sunscreen, we’re working to bring FHE to the masses, starting with web3. As part of our mission, we’ve
Building an FHE compiler for the real world The first step in bringing fully homomorphic encryption (FHE) to the masses involves making FHE both fast and usable for developers! Developers will then be empowered to bring privacy to whatever application they're creating. We've been working hard the past months trying to solve this problem.
Introducing Sunscreen More and more people are realizing the importance of privacy, particularly in web3. Front-running attacks plague multiple blockchains. Sophisticated users want to hide their financial holdings and trading strategies while still reaping the benefits of the DeFi ecosystem. While there has been an explosion of web3 companies, privacy is needed
Announcing our FHE grants program Sunscreen is launching a grants program to encourage further research and development into fully homomorphic encryption (FHE). We're excited to get developers thinking about how to build private applications using FHE. We also aim to promote broader research into FHE (especially in the context of web3); thus, we&
Featured Sunscreen raises $4.65m to build the privacy engine of the new web We're excited to introduce Sunscreen, open source our fully homomorphic encryption compiler, and kick off our grants program!
An Intro to Fully Homomorphic Encryption for Engineers Fully homomorphic encryption (FHE) is a fabled technology that allows for arbitrary computation over encrypted data. With privacy as a major focus across tech, FHE fits perfectly into this new narrative and is relevant to disparate fields from public distributed ledgers to machine learning.
