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ML2SC: Deploying Machine Learning Models as Smart Contracts on the Blockchain
April 29, 2024, 4:11 a.m. | Zhikai Li, Steve Vott, Bhaskar Krishnamachar
cs.CR updates on arXiv.org arxiv.org
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. …
ai safety arxiv blockchain can challenge contracts cs.cr cs.lg data machine machine learning machine learning models offer proof recording running safety smart smart contracts technology trust
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