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Secure Multi-Party Computation

[sɪˈkjʊər ˈmʌlti ˈpɑːti ˌkɒmpjuˈteɪʃən]
AI Infrastructure
Last updated: December 9, 2024

Definition

A cryptographic technique that allows multiple parties to jointly compute a function over their inputs while keeping those inputs private.

Detailed Explanation

SMPC enables multiple entities to collaborate on computations without revealing their individual data to each other. It uses advanced cryptographic protocols to ensure that only the final result is revealed while intermediate calculations and individual inputs remain confidential. This involves complex mathematical properties and protocol designs that guarantee security even if some parties attempt to cheat.

Use Cases

Healthcare institutions sharing patient data analysis Banks collaborating on fraud detection Multiple organizations training AI models together Privacy-preserving market analysis

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