facebookresearch / privacy_lintLinks
Lint for privacy
☆28Updated 3 years ago
Alternatives and similar repositories for privacy_lint
Users that are interested in privacy_lint are comparing it to the libraries listed below
Sorting:
- Privacy Testing for Deep Learning☆211Updated 4 months ago
- A concise primer on Differential Privacy☆29Updated 5 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆136Updated last week
- ☆24Updated last year
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆76Updated last year
- Federated Learning Utilities and Tools for Experimentation☆193Updated last year
- A codebase that makes differentially private training of transformers easy.☆182Updated 3 years ago
- A privacy preserving NLP framework☆198Updated 2 years ago
- A toolbox for differentially private data generation☆130Updated 2 years ago
- Github pages backend for https://differentialprivacy.org☆27Updated last week
- ☆130Updated 4 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆543Updated 2 months ago
- Membership Inference Competition☆32Updated 2 years ago
- ☆38Updated 3 years ago
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.☆267Updated 5 months ago
- Cryptographically secure pseudorandom number generators for PyTorch☆124Updated last month
- autodp: A flexible and easy-to-use package for differential privacy☆278Updated 2 years ago
- ☆80Updated 3 years ago
- A toolkit for tools and techniques related to the privacy and compliance of AI models.☆107Updated 3 months ago
- Differentially-private transformers using HuggingFace and Opacus☆145Updated last year
- Tools and service for differentially private processing of tabular and relational data☆288Updated 4 months ago
- Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy☆18Updated last year
- ☆37Updated 3 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆691Updated 8 months ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆399Updated this week
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆56Updated 5 years ago
- PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.☆73Updated 2 years ago
- ARMORY Adversarial Robustness Evaluation Test Bed☆187Updated last year