Alternatives and similar repositories for practical-data-privacy

Users that are interested in practical-data-privacy are comparing it to the libraries listed below

• IBM / ai-privacy-toolkit
  A toolkit for tools and techniques related to the privacy and compliance of AI models.
  ☆109Updated 4 months ago
• OpenMined / PipelineDP
  PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…
  ☆283Updated 2 months ago
• opendp / smartnoise-samples
  Code samples and documentation for SmartNoise differential privacy tools
  ☆134Updated 3 years ago
• leriomaggio / ppml-tutorial
  Privacy-Preserving Machine Learning (PPML) Tutorial
  ☆42Updated 2 months ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆291Updated 5 months ago
• EthicalML / fml-security
  Practical examples of "Flawed Machine Learning Security" together with ML Security best practice across the end to end stages of the mach…
  ☆124Updated 3 years ago
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆697Updated 9 months ago
• trailofbits / PrivacyRaven
  Privacy Testing for Deep Learning
  ☆211Updated 5 months ago
• qiyuangong / Mondrian
  Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).
  ☆175Updated 2 years ago
• usnistgov / SDNist
  SDNist: Benchmark data and evaluation tools for data synthesizers.
  ☆39Updated 6 months ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆541Updated 3 months ago
• PacktPublishing / Federated-Learning-with-Python
  ☆28Updated this week
• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆76Updated 2 years ago
• OpenMined / 30DaysOfFLCode
  Official Repo for the 30DaysOfFLCode Challenge Initiative
  ☆75Updated 5 months ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆105Updated 2 years ago
• alan-turing-institute / tapas
  ☆39Updated 2 years ago
• capeprivacy / cape-dataframes
  Privacy transformations on Spark and Pandas dataframes backed by a simple policy language.
  ☆176Updated 2 years ago
• Nuclearstar / K-Anonymity
  Anonymization methods for network security.
  ☆164Updated 11 months ago
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆94Updated last month
• unica-mlsec / mlsec
  PhD/MSc course on Machine Learning Security (Univ. Cagliari)
  ☆226Updated last month
• spring-epfl / synthetic_data_release
  ☆42Updated 3 years ago
• DataResponsibly / DataSynthesizer
  ☆272Updated last year
• IFCA-Advanced-Computing / pycanon
  pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.
  ☆48Updated this week
• microsoft / msrflute
  Federated Learning Utilities and Tools for Experimentation
  ☆193Updated 2 years ago
• opendifferentialprivacy / opendifferentialprivacy.github.io
  ☆10Updated 4 years ago
• OpenMined / courses
  A place where our community can discuss OpenMined Courses, including posting questions, sharing feedback, or providing comments for discu…
  ☆170Updated 2 years ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆405Updated last week
• capeprivacy / tf-world-tutorial
  TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
  ☆46Updated 2 years ago
• nesl / nist_differential_privacy_synthetic_data_challenge
  UCLANesl - NIST Differential Privacy Challenge (Match 3)
  ☆25Updated 6 years ago
• DPBayes / twinify
  A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.
  ☆56Updated last year