ML2SC: Deploying Machine Learning Models as Smart Contracts on the Blockchain

arXiv:2404.16967v1 Announce Type: new
Abstract: With the growing concern of AI safety, there is a need to trust the computations done by machine learning (ML) models. Blockchain technology, known for recording data and running computations transparently and in a tamper-proof manner, can offer this trust. One significant challenge in deploying ML Classifiers on-chain is that while ML models are typically written in Python using an ML library such as Pytorch, smart contracts deployed on EVM-compatible blockchains are written in Solidity. …

abstract arxiv blockchain challenge cs.cr cs.lg data machine machine learning machine learning models recording running safety smart smart contracts technology trust type