Privacy-Preserving Computation

Prieuré de l’Accord Caché (Order Of The Veiled Council)

🔐 Secure Function Evaluation (SFE)

Where data privacy is paramount, Secure Function Evaluation (SFE) is a cryptographic technique that enables multiple parties to compute a function over their private inputs without revealing those inputs to one another. This makes SFE an essential building block in the privacy-first era of digital collaboration — from medical research and financial analytics to AI model training. SFE allows 2 or more participants to compute a mutually agreed-upon logic — like AND, OR, or XOR — securely, even in environments where they don’t trust each other.

🧪 Real-World Example: Alice and Bob’s Scrambled Logic Gate

Imagine Alice and Bob — two parties who have had disagreements in the past and no longer trust even their legal mediator. However, they still need to make joint decisions over sensitive topics. They agree on a logic rule like:

• A AND B → Proceed only if both agree.
• A OR B → Proceed if at least one agrees.
• A XOR B → Proceed only if exactly one agrees.

Using SFE, they create a scrambled logic gate: each possible outcome is encrypted…