Which concept allows multiple parties to jointly compute a function over their inputs while keeping those inputs private?

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Multiple Choice

Which concept allows multiple parties to jointly compute a function over their inputs while keeping those inputs private?

Explanation:
Secure multi-party computation lets multiple parties jointly compute a function over their inputs while keeping those inputs private. No single participant reveals their raw data; only the final result is learned. Techniques like secret sharing, garbled circuits, and homomorphic encryption enable performing the calculation on encrypted or split data, so privacy is preserved throughout the process. For example, several organizations can compute a shared statistic without exposing their individual records. The other options describe protecting data in transit, updating software, or running simulations, which don’t address private collaborative computation.

Secure multi-party computation lets multiple parties jointly compute a function over their inputs while keeping those inputs private. No single participant reveals their raw data; only the final result is learned. Techniques like secret sharing, garbled circuits, and homomorphic encryption enable performing the calculation on encrypted or split data, so privacy is preserved throughout the process. For example, several organizations can compute a shared statistic without exposing their individual records. The other options describe protecting data in transit, updating software, or running simulations, which don’t address private collaborative computation.

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