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Zero-Knowledge Machine Learning (zkML) Meaning

Zero-Knowledge Machine Learning (zkML) is an emerging field that applies zero-knowledge proof techniques to machine learning models. The goal is to prove that a model’s output is correct without revealing sensitive inputs, model parameters, or proprietary data.

For example, a classifier could prove that it categorises a document correctly without disclosing the document’s content or the model’s inner workings. zkML holds promise for privacy-preserving AI applications, such as verifying that a credit score meets a threshold without exposing the full credit report.

Implementing zkML is challenging because complex models generate large proofs; research focuses on designing efficient circuits and using succinct proof systems to make zkML practical.

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Finery Markets BVI Limited (“Finery Markets”) provides software, technology infrastructure, and related Information and Communication Technology (ICT) services on a Software-as-a-Service (“SaaS”) basis. Finery Markets acts solely as a software vendor and does not operate a trading platform, does not intermediate, match, execute, clear, or settle transactions, and does not engage in any activities that would require regulatory authorisation under applicable laws.

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