zkSNARKs offer strong privacy properties, making them invaluable for a wide range of applications, from decentralized private currencies to computation systems. However, the generation of these proofs requires heavy computational resources, restricting their application. Current solutions which generate proofs in the cloud compromise privacy by sharing the data required for proof generation with a single machine. Since proof generation can require highly sensitive data like private keys, this requires trust to be placed in a single party, thus limiting zkSnarks’ application and necessitating a solution that balances efficiency and privacy.

zkHub innovatively solves this problem by establishing a marketplace for decentralized and efficient proof generation, without compromising the privacy of the data. The project uses Multi-party computation (MPC) protocols, allowing a prover to delegate proof generation to a set of workers, ensuring no private information is revealed to any worker as long as at least one worker does not collude with the rest. This unique approach to privacy-preserving delegation is not only secure against malicious actors but also avoids reliance on heavy cryptographic tools.