Which method enables two parties to jointly evaluate a private function without revealing inputs?

Which method enables two parties to jointly evaluate a private function without revealing inputs?

• A. Hybrid Encryption
• B. Distributed Consensus
• C. Private Function Evaluation (PFE)
• D. Public Key Cryptography

Answer: (C)

Two parties wanting to compute a function without revealing their private inputs rely on a cryptographic approach designed for secure joint computation. Private Function Evaluation is built for exactly this purpose: it lets the participants collaborate to evaluate a function on their private inputs while keeping those inputs hidden and only revealing the agreed-upon output. In practice, PFE can be realized using secure computation techniques such as garbled circuits or other forms of secure multi‑party computation, which convert the calculation into an encrypted form and ensure that no one learns anything about the other party’s input beyond what can be inferred from the result. Hybrid Encryption mixes symmetric and public-key methods for protecting data in transit or at rest, but it doesn’t address jointly evaluating a function with private inputs. Distributed Consensus focuses on agreeing on a value across multiple systems, not on private input evaluation. Public Key Cryptography covers algorithms for secure key exchange and encryption in general, but it isn’t specifically about evaluating a private function with private inputs.

Two parties wanting to compute a function without revealing their private inputs rely on a cryptographic approach designed for secure joint computation. Private Function Evaluation is built for exactly this purpose: it lets the participants collaborate to evaluate a function on their private inputs while keeping those inputs hidden and only revealing the agreed-upon output. In practice, PFE can be realized using secure computation techniques such as garbled circuits or other forms of secure multi‑party computation, which convert the calculation into an encrypted form and ensure that no one learns anything about the other party’s input beyond what can be inferred from the result.

Hybrid Encryption mixes symmetric and public-key methods for protecting data in transit or at rest, but it doesn’t address jointly evaluating a function with private inputs. Distributed Consensus focuses on agreeing on a value across multiple systems, not on private input evaluation. Public Key Cryptography covers algorithms for secure key exchange and encryption in general, but it isn’t specifically about evaluating a private function with private inputs.