🔐 Secure Multiparty Computation: Computing a Shared Answer Without Sharing Your Secrets
Explore secure multiparty computation (MPC), the cryptographic technique that lets several parties jointly compute a function over private inputs while keeping every input secret from everyone else.
This simulator demonstrates how additive secret sharing lets multiple parties jointly compute a sum or comparison of their private numbers without ever revealing those numbers to each other.
🔬 What It Demonstrates
This simulator demonstrates how additive secret sharing lets multiple parties jointly compute a sum or comparison of their private numbers without ever revealing those numbers to each other.
🎮 How to Use
Enter private values for each simulated party, watch them get split into random shares and distributed, then see how combining the result-shares reveals only the final computed answer.
💡 Did You Know?
Did you know that MPC-based salary benchmarking has been used in real programs like the Boston Women's Workforce Council's wage-gap studies, letting dozens of employers compare pay equity without any single company's payroll data ever being exposed?
Explore secure multiparty computation (MPC), the cryptographic technique that lets several parties jointly compute a function over private inputs while keeping every input secret from everyone else.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install