ezkl
EZKL — Zero-Knowledge Proofs for ML Models
EZKL converts any ONNX-formatted ML model into a ZK-SNARK circuit, enabling cryptographic verification that a model ran correctly on specific inputs without revealing private data. Written in Rust with Python, JavaScript/TypeScript (WASM), and CLI interfaces. Generates EVM-compatible Solidity verifier contracts for on-chain verification.
When to Use This Skill
- Converting ML models to ZK circuits
- Generating and verifying proofs of ML inference
- Deploying on-chain verifiers for model outputs
- Working with
@ezkljs/engine(JS/TS SDK) orezkl(Python/CLI) - Integrating zkML into applications (Node.js, Bun, browser, EVM chains)
Core Workflow — 9 Steps
Every EZKL pipeline follows this sequence regardless of interface (CLI, Python, JS):
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