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Old Code: MLCrypto

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Old code directly from the archive. Published with minor clean-up!

I’m reposting the code since I no longer have access to the original repo.

Non-Interactive, Secure Verifiable Aggregation for Decentralized, Privacy-Preserving Learning

Published Paper: Journal of Cryptographic Engineering (Vol. 12 2022)

Paper’s Page: link

Repo

Original repo or GitHub repo.

Content of the Repo

  • algorithms: all the NIST DRBGs
  • experiments_cvs/plots.R: code for plotting the obtained CSV (as in the paper)
  • ml: the machine learning framework used
  • targetDatasets and trainingDatasets: temporary folder for target and training dataset
  • main.py: main code to execute the experiment and contains the experiment parameters

Quick Usage

  • Modify the experimental parameters in main.py
  • Run main.py