Alternatives and similar repositories for privacy_lint

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

• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆106Updated this week
• OpenMined / PipelineDP
  PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…
  ☆280Updated last week
• trailofbits / PrivacyRaven
  Privacy Testing for Deep Learning
  ☆210Updated last month
• google / fedjax
  FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.
  ☆266Updated 3 months ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆282Updated 2 months ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆74Updated last year
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆389Updated this week
• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆76Updated 2 years ago
• sarus-tech / dp-xgboost
  ☆24Updated last year
• Kritikalcoder / DP-primer
  A concise primer on Differential Privacy
  ☆29Updated 5 years ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆131Updated 2 years ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆538Updated last week
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆176Updated 2 years ago
• mc2-project / mc2
  A Platform for Secure Analytics and Machine Learning
  ☆304Updated 2 years ago
• facebookresearch / Opacus-lab
  Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy
  ☆18Updated last year
• microsoft / msrflute
  Federated Learning Utilities and Tools for Experimentation
  ☆191Updated last year
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆275Updated last year
• google-research / dp-imagenet
  ☆37Updated 3 years ago
• meta-pytorch / csprng
  Cryptographically secure pseudorandom number generators for PyTorch
  ☆124Updated 4 months ago
• google-research / selfstudy-adversarial-robustness
  ☆129Updated 3 years ago
• microsoft / MICO
  Membership Inference Competition
  ☆31Updated 2 years ago
• ektelo / ektelo
  ☆38Updated 3 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• wbawakate / fairtorch
  PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.
  ☆73Updated 2 years ago
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆33Updated 4 years ago
• awslabs / privacy-preserving-xgboost-inference
  Privacy-preserving XGBoost Inference
  ☆49Updated 2 years ago
• capeprivacy / tf-world-tutorial
  TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
  ☆46Updated 2 years ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆143Updated last year
• cmla-psu / statdp
  Statistical Counterexample Detector for Differential Privacy
  ☆28Updated last year
• OpenMined / SyferText
  A privacy preserving NLP framework
  ☆198Updated 2 years ago