Alternatives and similar repositories for anonypy

Users that are interested in anonypy are comparing it to the libraries listed below

• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆284Updated 2 months ago
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆92Updated last month
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆541Updated 2 weeks ago
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆683Updated 6 months ago
• alan-turing-institute / tapas
  ☆36Updated 2 years ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆390Updated this week
• Nuclearstar / K-Anonymity
  Anonymization methods for network security.
  ☆161Updated 8 months ago
• ObliviousAI / petlab_competition
  🏁 The core repository to support participants through the UN PET Lab Hackathon 2022 👉 Registration at: https://petlab.officialstatistic…
  ☆19Updated 2 years ago
• IBM / differential-privacy-library
  Diffprivlib: The IBM Differential Privacy Library
  ☆891Updated last month
• 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.
  ☆45Updated last week
• ryan112358 / mbi
  A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.
  ☆106Updated last month
• DataResponsibly / DataSynthesizer
  ☆271Updated last year
• kaylode / k-anonymity
  Evaluating variety of k-Anonymity techniques.
  ☆54Updated 2 years ago
• spring-epfl / synthetic_data_release
  ☆40Updated 2 years ago
• Samuel-Maddock / pure-LDP
  Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.
  ☆77Updated 2 years ago
• usnistgov / SDNist
  SDNist: Benchmark data and evaluation tools for data synthesizers.
  ☆37Updated 3 months ago
• ganevgv / dp-generative-models
  Differentially Private (tabular) Generative Models Papers with Code
  ☆53Updated last year
• qiyuangong / Mondrian
  Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).
  ☆174Updated last year
• IBM / ai-privacy-toolkit
  A toolkit for tools and techniques related to the privacy and compliance of AI models.
  ☆107Updated last month
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆131Updated 2 years ago
• mc2-project / federated-xgboost
  Federated gradient boosted decision tree learning
  ☆68Updated 2 years ago
• Koukyosyumei / AIJack
  Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
  ☆410Updated 3 weeks ago
• sdv-dev / SDMetrics
  Metrics to evaluate quality and efficacy of synthetic datasets.
  ☆251Updated this week
• schneiderkamplab / syntheval
  Software for evaluating the quality of synthetic data compared with real data.
  ☆32Updated 7 months ago
• leriomaggio / ppml-tutorial
  Privacy-Preserving Machine Learning (PPML) Tutorial
  ☆41Updated last year
• IBM / federated-learning-lib
  A library for federated learning (a distributed machine learning process) in an enterprise environment.
  ☆519Updated last month
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆317Updated 9 months ago
• awslabs / sagemaker-privacy-for-nlp
  A solution that helps apply a privacy preserving mechanism to NLP data, using Amazon SageMaker.
  ☆18Updated 5 months ago
• uvm-plaid / programming-dp
  ☆325Updated 3 months ago
• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆76Updated 2 years ago