qrme

qrme is a quantum-resistant encrypted machine learning system designed to protect sensitive data and models against potential threats from quantum computing. It utilises advanced cryptographic techniques to ensure the confidentiality and integrity of the machine learning model and its inputs/outputs, even in the face of future quantum attacks.

Usage

You can start using qrme by executing:

make help

There's a minimal integration example here. Don't forget to implement secure methods for key distribution and storage and ensure the integrity of the model file in a production environment.

References

• Quantum-Resistant Cryptography
• Applications of Post-quantum Cryptography
• Preparing for Quantum-Safe Cryptography
• Next Steps in Preparing for Post-Quantum Cryptography
• The Impact of Quantum Computing on Present Cryptography
• Post-Quantum Cryptography for Internet of Things: A Survey on Performance and Optimization

License

This project is licensed under the BSD 3-Clause License.

Citation

@misc{qrme,
  author       = {Oketunji, A.F.},
  title        = {Quantum-Resistant Model Encryption (QRME)},
  year         = 2024,
  version      = {0.0.4},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.13624471},
  url          = {https://doi.org/10.5281/zenodo.13624471}
}

Copyright

(c) 2024 Finbarrs Oketunji. All Rights Reserved.