2.2 ZKML Verification Protocol

Zero-Knowledge Machine Learning (ZKML)

• Concept and Implementation:The ZKML protocol applies the principles of zero-knowledge proofs to machine learning models, ensuring that the correctness of model execution can be verified without revealing the internal data and parameters of the model. Agentora has invested $1.32 million in reconstructing this protocol to ensure its security and efficiency.

• Privacy and Security:During the training process, decisions and parameter updates of AI models are verified through zero-knowledge proofs. This ensures that external observers cannot steal sensitive information, while still confirming that the decision-making process complies with predetermined rules.

• On-Chain Verification:Each AI decision is accompanied by an immutable model fingerprint that is verified on-chain through the ZKML protocol. This ensures that all decision-making processes are transparent, traceable, and tamper-proof.