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ZKML: Verifiable Machine Learning using Zero-Knowledge Proof
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Blockchain
4/8/2025
·
7
Minutes Read
# ZKML: Verifiable Machine Learning using Zero-Knowledge Proof
Blockchain
4/8/2025
·
6
Minutes Read

Joo Yeon Cho
Blockchain Expert
[Find out more](https://kudelskisecurity.com/team-members/joo-yeon-cho)
table of contents
- [Introduction](https://kudelskisecurity.com/modern-ciso-blog/zkml-verifiable-machine-learning-using-zero-knowledge-proof#toc-introduction)
- [Why Verifying Machine Learning Models Is So Hard](https://kudelskisecurity.com/modern-ciso-blog/zkml-verifiable-machine-learning-using-zero-knowledge-proof#toc-why-verifying-machine-learning-models-is-so-hard)
- [Practical Implementations of ZKML](https://kudelskisecurity.com/modern-ciso-blog/zkml-verifiable-machine-learning-using-zero-knowledge-proof#toc-practical-implementations-of-zkml)
- [Key Challenges to Widespread Adoption](https://kudelskisecurity.com/modern-ciso-blog/zkml-verifiable-machine-learning-using-zero-knowledge-proof#toc-key-challenges-to-widespread-adoption)
- [Conclusion: The Future of Trustworthy AI](https://kudelskisecurity.com/modern-ciso-blog/zkml-verifiable-machine-learning-using-zero-knowledge-proof#toc-conclusion:-the-future-of-trustworthy-ai)
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## Introduction
Zero-Knowledge Machine Learning (ZKML) is an emerging technology that combines zero-knowledge proofs (ZKPs) with machine learning algorithms to enable privacy-preserving machine learning and verifiable AI models. It solves key privacy and trust challenges in conventional ML systems.
At its core, zero-knowledge proofs allow for the verifica
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