This article explores how zero-knowledge proofs (ZKPs) can validate AI model accuracy faster than direct computation. It explains the gap between verifying and recomputing algorithms, using Freivalds’ algorithm and zkCNN as examples. By applying cryptographic validation methods such as the sumcheck ...

Explores how ZK-SNARKs (Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge) enable privacy-preserving and verifiable computation, particularly in machine learning. It explains key principles like zero-knowledge and succinctness, outlines the components of ZK-SNARK construction—arithmetiz...