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Cryptography is Hard. Stoffel is Easy

Multi-Party Computation (MPC) lets multiple parties compute on shared data without exposing individual inputs.

It's the technology that makes privacy-preserving collaboration possible—and Stoffel makes it accessible to every developer.

Cryptography is Hard. Stoffel is Easy

Multi-Party Computation (MPC) lets multiple parties compute on shared data without exposing individual inputs.

It's the technology that makes privacy-preserving collaboration possible—and Stoffel makes it accessible to every developer.

Cryptography is Hard. Stoffel is Easy

Multi-Party Computation (MPC) lets multiple parties compute on shared data without exposing individual inputs.

It's the technology that makes privacy-preserving collaboration possible—and Stoffel makes it accessible to every developer.

What is Multi-Party Computation?

Imagine three hospitals want to research a rare disease together. Each has patient data that could help, but they can't share it due to privacy laws. Traditional solutions force an impossible choice:

Share data: Privacy violations, regulatory issues
Keep data separate: Limited insights, slower progress

But with MPC the hospitals could compute together, and keep their data private.

MPC

MPC

MPC

User

Developer

MPC Server

Output final result

Runs program over encrypted data

Decrypt data locally

Encrypt data locally

Send encrypted data

How Does MPC Work?

MPC works by splitting sensitive data into "shares" - meaningless pieces that only reveal information when combined.

Original secret: 1000
Split into shares:
- Party A gets: 847392847 (random)
- Party B gets: 392847364 (random)
- Party C gets: 847392949 (random)

Individually: Shares reveal nothing
Combined: 847392847 + 392847364 + 847392949 = 1000

What You Need to Know About Privacy Tools

Use MPC when:

You need to process private data and control when (or if) it becomes public.

Use ZK when:

You need to prove something happened without exposing the details.

Use FHE when:

You need to run computations on data without ever exposing it.

Use TEE when:

You need hardware-level isolation for processing sensitive code and data.

Combine them for even more power

MPC

Prove your computation was correct without revealing the data.

MPC

FHE

Process sensitive data across multiple services while keeping it encrypted.

MPC

TEE

Speed up secure multi-party computation using trusted hardware.

Further Deep Dive

MPC Overview

Github Resources

Pragmatic MPC

What You Need to Know About Privacy Tools

Use MPC when:

You need to process private data and control when (or if) it becomes public.

Use ZK when:

You need to prove something happened without exposing the details.

Use FHE when:

You need to run computations on data without ever exposing it.

Use TEE when:

You need hardware-level isolation for processing sensitive code and data.

Combine them for even more power

MPC

Prove your computation was correct without revealing the data.

MPC

FHE

Process sensitive data across multiple services while keeping it encrypted.

MPC

TEE

Speed up secure multi-party computation using trusted hardware.

Further Deep Dive

MPC Overview

Github Resources

Pragmatic MPC

What You Need to Know About Privacy Tools

Use MPC when:

You need to process private data and control when (or if) it becomes public.

Use ZK when:

You need to prove something happened without exposing the details.

Use FHE when:

You need to run computations on data without ever exposing it.

Use TEE when:

You need hardware-level isolation for processing sensitive code and data.

Combine them for even more power

MPC

Prove your computation was correct without revealing the data.

MPC

FHE

Process sensitive data across multiple services while keeping it encrypted.

MPC

TEE

Speed up secure multi-party computation using trusted hardware.

Further Deep Dive

MPC Overview

Github Resources

Pragmatic MPC

SOLUTIONS