Alternatives and similar repositories for privacy_lint

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

• Kritikalcoder / DP-primer
  A concise primer on Differential Privacy
  ☆29Updated 5 years ago
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆95Updated 3 weeks ago
• sarus-tech / dp-xgboost
  ☆23Updated last year
• facebookresearch / Opacus-lab
  Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy
  ☆18Updated 9 months ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated last year
• trailofbits / PrivacyRaven
  Privacy Testing for Deep Learning
  ☆206Updated 2 years ago
• google / fedjax
  FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.
  ☆265Updated last week
• pytorch / csprng
  Cryptographically secure pseudorandom number generators for PyTorch
  ☆120Updated last month
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆132Updated 2 years ago
• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆76Updated 2 years ago
• awslabs / privacy-preserving-xgboost-inference
  Privacy-preserving XGBoost Inference
  ☆49Updated 2 years ago
• wbawakate / fairtorch
  PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.
  ☆73Updated 2 years ago
• google-research / selfstudy-adversarial-robustness
  ☆127Updated 3 years ago
• microsoft / msrflute
  Federated Learning Utilities and Tools for Experimentation
  ☆190Updated last year
• TheSalon / fast-dpsgd
  Code for fast dpsgd implementations in JAX/TF
  ☆59Updated 2 years ago
• differentialprivacy / differentialprivacy
  Github pages backend for https://differentialprivacy.org
  ☆26Updated last month
• google-research / dp-imagenet
  ☆37Updated 3 years ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆175Updated 2 years ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆275Updated last month
• ektelo / ektelo
  ☆38Updated 3 years ago
• mc2-project / secure-xgboost
  Secure collaborative training and inference for XGBoost.
  ☆105Updated 2 years ago
• twosixlabs / armory
  ARMORY Adversarial Robustness Evaluation Test Bed
  ☆182Updated last year
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆33Updated 4 years ago
• spring-epfl / trickster
  Library and experiments for attacking machine learning in discrete domains
  ☆46Updated 2 years ago
• microsoft / BackwardCompatibilityML
  Project for open sourcing research efforts on Backward Compatibility in Machine Learning
  ☆73Updated last year
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆374Updated this week
• sommerda / privacybuckets
  A implementation of Privacy Buckets: A numerical tool to calculate privacy loss
  ☆10Updated 3 years ago
• OpenMined / PipelineDP
  PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…
  ☆279Updated last month
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆274Updated last year
• microsoft / adaptive-testing
  Find and fix bugs in natural language machine learning models using adaptive testing.
  ☆184Updated last year