Keras2Circom (zkML)


ZkML is a proving framework that leverages Zero-Knowledge proofs to prove the validity of ML inference result on-chain. Due to its private nature it can protect confidential data and model parameters during training and inference, thus addressing privacy issues and reducing blockchain's computational load.

Keras2Circom, built by ORA, is the first advanced zkML framework that is battle-tested. From a recent benchmark by Ethereum Foundation ESP Grant Proposal [FY23-1290] on leading zkML frameworks, Keras2Circom and its underlying circomlib-ml are proven to be performant than other frameworks.


Besides being production-ready, circomlib-ml has rich ecosystem:

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