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Cryptography Will Revolutionize AI Data Privacy with Daniel Kang

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

CHAPTER

Exploring Zero-Knowledge Proofs in Machine Learning

This chapter investigates the integration of cryptography, machine learning, and zero-knowledge proofs, focusing on the implementation of ZK-SNARKs and the role of arithmetization. It highlights techniques like quantization and the use of lookup tables to ensure data privacy without compromising computational integrity. The discussion emphasizes the mathematical frameworks necessary for validating computations while maintaining data security in AI systems.

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