Secure Protocols
AI Infrastructure
A cryptographic technique that allows multiple parties to jointly compute a function over their inputs while keeping those inputs private.
Detailed Explanation
Secure Multi-Party Computation (SMPC) is a cryptographic method enabling multiple participants to collaboratively compute a function without revealing their individual inputs. It ensures data privacy and security, allowing parties to extract shared results while maintaining confidentiality, making it essential for privacy-preserving data analysis, joint modeling, and secure data sharing in AI infrastructure.
Use Cases
- •Enables multiple hospitals to collaboratively analyze patient data without exposing sensitive information.
Related Terms
Other terms in the AI Infrastructure category