The TNO PET Lab is a cross-project initiative initiated to improve the overall quality, generality, and reusability in the development of Privacy-Enhancing Technologies (PET) solutions developed in the numerous (past, ongoing, and future) TNO projects that involve PET. It consists of generic software components, procedures, and functionalities developed and maintained on a regular basis to facilitate and aid in the development of PET solutions. The lab strives to boost the development of new protocols and solutions, and decrease time-to-market.
Within the TNO PET Lab we work with various privacy-enhancing technologies. For the sake of structure, every technology is bundled in its own GitHub organisation.
| Technology | GitHub organisation | PyPI |
|---|---|---|
| secure Multi-Party Computation (MPC) | TNO-MPC | tno.mpc |
| Federated Learning (FL) | TNO-FL | tno.fl |
| Synthetic Data Generation (SDG) | TNO-SDG | tno.sdg |
| Zero-Knowledge Proofs (ZKP) | TNO-ZKP | tno.zkp |
| Generic PET Lab | TNO-PET | tno.pet |
We believe that opening up the mysteries of advanced cryptography benefits society. Conform the Kerckhoff’s principle the security of the developed MPC solutions does not rely on secrecy but on mathematical principles. The TNO MPC Lab supports Kerckhoff’s principle by publishing open source as a way to validate the theoretical/mathematical correctness of cryptographic protocols as well as their implementations.
The mostly used license for TNO PET Lab components is the Apache License, Version 2.0. This allows for easy adoption and flexible usage without enforcing a specific license to (end-)users and contributors of the codebase. We are always open to questions on, suggestions for and contributions to our codebase.
