DeepProve: The Future of Trustless AI with Zero-Knowledge Proofs
๐ Innovating AI Verification
DeepProve, a groundbreaking zero-knowledge machine learning (zkML) framework developed by Lagrange, is redefining how AI models are verifiedโwithout compromising privacy or performance. By leveraging cryptographic proofs, DeepProve enables users to prove that an output Y was generated from input X using a specific modelโwhile keeping the modelโs weights entirely confidential.
โก Unmatched Speed & Efficiency
1000x faster proof generation
671x faster proof verification
1150x faster one-time setup
Powered by the Lagrange Prover Network (LPN), DeepProve decentralizes computational heavy lifting, making verifiable AI scalable, affordable, and accessible for global adoption.
๐ง How DeepProve Works
1. Preprocessing โ The trained ML model is exported as an ONNX file, and prover/verifier keys are generated.
2. Execution & Proof Generation โ The model processes input data, and each neural network nodeโs computation is cryptographically verified.
3. Proof Aggregation โ Individual proofs are compiled into a single, succinct proof, confirming the modelโs correct execution.
โ Why DeepProve?
โ Verifiable AI โ Cryptographic guarantees for correct outputs.
โ Privacy-Preserving โ Model weights remain fully encrypted.
โ Enterprise-Ready โ Scalable for large models with parallelized proving.
โ Framework-Agnostic โ Compatible with multiple AI platforms.
๐ Join the #zkML Revolution
#Lagrange is paving the way for trustless, transparent AIโbridging the gap between blockchain and machine learning.
