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.
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.
Adjust each party's private input and the number of participants to see how the shares, computation, and final revealed result change in real time.
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?
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.
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.
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 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?