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.
  ☆102Updated last week
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆649Updated 3 weeks ago
• leriomaggio / ppml-tutorial
  Privacy-Preserving Machine Learning (PPML) Tutorial
  ☆40Updated 11 months ago
• mplspunk / awesome-privacy-engineering
  A curated list of resources related to privacy engineering
  ☆132Updated 7 months ago
• OpenMined / 30DaysOfFLCode
  Official Repo for the 30DaysOfFLCode Challenge Initiative
  ☆74Updated 4 months ago
• leriomaggio / privacy-preserving-data-science
  Course Material for the Tutorial on Privacy Enhancing Technologies and PPML
  ☆13Updated 3 years ago
• usnistgov / PrivacyEngCollabSpace
  Privacy Engineering Collaboration Space
  ☆260Updated last year
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆86Updated this week
• opendp / smartnoise-samples
  Code samples and documentation for SmartNoise differential privacy tools
  ☆133Updated 2 years ago
• spring-epfl / synthetic_data_release
  ☆39Updated 2 years ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆147Updated 2 years ago
• usnistgov / SDNist
  SDNist: Benchmark data and evaluation tools for data synthesizers.
  ☆35Updated last month
• AbductiveReason / AwesomePrivacyEngineering
  Awesome Privacy Engineering
  ☆61Updated last year
• alan-turing-institute / tapas
  ☆36Updated last year
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆267Updated 3 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…
  ☆109Updated 2 years ago
• PacktPublishing / Federated-Learning-with-Python
  ☆26Updated last year
• unica-mlsec / mlsec
  PhD/MSc course on Machine Learning Security (Univ. Cagliari)
  ☆209Updated 5 months ago
• nesl / nist_differential_privacy_synthetic_data_challenge
  UCLANesl - NIST Differential Privacy Challenge (Match 3)
  ☆24Updated 5 years ago
• uvm-plaid / programming-dp
  ☆314Updated 3 months ago
• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆76Updated 2 years ago
• stratosphereips / awesome-ml-privacy-attacks
  An awesome list of papers on privacy attacks against machine learning
  ☆602Updated last year
• hharcolezi / multi-freq-ldpy
  Multiple Frequency Estimation Under Local Differential Privacy in Python
  ☆47Updated last year
• trailofbits / PrivacyRaven
  Privacy Testing for Deep Learning
  ☆204Updated last year
• nogrady / PPML
  Privacy Preserving Machine Learning (Manning Early Access Program)
  ☆33Updated 2 years ago
• DPBayes / twinify
  A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.
  ☆52Updated 8 months ago
• OpenMined / PipelineDP
  PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…
  ☆277Updated this week
• ryan112358 / private-pgm
  An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"
  ☆102Updated last week
• opendifferentialprivacy / opendifferentialprivacy.github.io
  ☆10Updated 4 years 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
  ☆104Updated last year