Alternatives and similar repositories for data-privacy-toolkit

Users that are interested in data-privacy-toolkit 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.
  ☆107Updated last month
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆678Updated 5 months ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆280Updated 2 months ago
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆92Updated 3 weeks ago
• microsoft / privGAN
  PrivGAN: Protecting GANs from membership inference attacks at low cost
  ☆34Updated last year
• IBM / differential-privacy-library
  Diffprivlib: The IBM Differential Privacy Library
  ☆888Updated last month
• microsoft / msrflute
  Federated Learning Utilities and Tools for Experimentation
  ☆191Updated last year
• ryan112358 / mbi
  A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.
  ☆106Updated last month
• alan-turing-institute / tapas
  ☆36Updated 2 years ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆150Updated 2 years ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆74Updated last year
• usnistgov / SDNist
  SDNist: Benchmark data and evaluation tools for data synthesizers.
  ☆37Updated 3 months ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆143Updated last year
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆535Updated last year
• sarus-tech / dp-xgboost
  ☆24Updated last year
• microsoft / DPSDA
  Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]
  ☆102Updated 3 weeks ago
• spring-epfl / synthetic_data_release
  ☆40Updated 2 years ago
• trailofbits / PrivacyRaven
  Privacy Testing for Deep Learning
  ☆210Updated last month
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆131Updated 2 years ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆387Updated this week
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆176Updated 2 years ago
• microsoft / analysing_pii_leakage
  The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…
  ☆101Updated last year
• stratosphereips / awesome-ml-privacy-attacks
  An awesome list of papers on privacy attacks against machine learning
  ☆627Updated last year
• OpenMined / PipelineDP
  PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…
  ☆280Updated last month
• pralab / secml
  A Python library for Secure and Explainable Machine Learning
  ☆189Updated 3 months ago
• Koukyosyumei / AIJack
  Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
  ☆409Updated last week
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆127Updated last year
• opendifferentialprivacy / opendifferentialprivacy.github.io
  ☆10Updated 4 years ago
• twosixlabs / armory
  ARMORY Adversarial Robustness Evaluation Test Bed
  ☆186Updated last year
• sunblaze-ucb / dpml-benchmark
  This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.
  ☆63Updated 6 years ago