standard-deviant / awesome-ppml

A curated list of resources for privacy-preserving machine learning

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awesome-ppml

A curated list of resources for privacy-preserving machine learning.

See also:

which also contain links to some of the (more general purpose) tools often used in with PPML.

News and Updates

Software

  • HE Transformer - homomorphic encryption backend for nGraph
  • TensorFlow Privacy - differential privacy in TensorFlow
  • tf-encrypted - secure multi-party computation in TensorFlow
  • PySyft - secure multi-party computation and differential privacy in PyTorch

Conferences and Workshops

Research Papers

A great summary is provided in MRSV'17 and the archives of PPML News contain more papers in chronological order.

Selection:

Good to Follow

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A curated list of resources for privacy-preserving machine learning