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

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

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

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