Kritikalcoder / DP-primerLinks
A concise primer on Differential Privacy
β29Updated 5 years ago
Alternatives and similar repositories for DP-primer
Users that are interested in DP-primer are comparing it to the libraries listed below
Sorting:
- Differentially Private Optimization for PyTorch ππ ββοΈβ189Updated 5 years ago
- A privacy preserving NLP frameworkβ198Updated 2 years ago
- Repository with tutorials and applications of Private-AI algorithms with PySyftβ73Updated 6 years ago
- Fork of the differential privacy module of TF/models/researchβ14Updated 5 years ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyftβ57Updated 5 years ago
- Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networksβ76Updated last year
- Using federated learning and CNNs to analyze X-ray images of Lungs and determining whether pneumonia is present.β34Updated 6 years ago
- TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyftβ46Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19β33Updated 4 years ago
- A privacy-preserving app for comparing last-known locations of coronavirus patientsβ43Updated 2 years ago
- A toolbox for differentially private data generationβ131Updated 2 years ago
- Code for fast dpsgd implementations in JAX/TFβ59Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacyβ275Updated last year
- FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.β266Updated 2 months ago
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.β182Updated 4 years ago
- β22Updated 2 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacyβ533Updated last year
- This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"β27Updated 3 years ago
- A place where our community can discuss OpenMined Courses, including posting questions, sharing feedback, or providing comments for discuβ¦β169Updated 2 years ago
- Course Material for the Tutorial on Privacy Enhancing Technologies and PPMLβ13Updated 3 years ago
- Everything you need to know to contribute to OpenMined!β215Updated last year
- Privacy-Preserving Bandits (MLSys'20)β22Updated 2 years ago
- A curated list of resources for privacy-preserving machine learningβ148Updated 3 years ago
- A library for running Functional Encryption on tensorsβ43Updated 4 years ago
- Proof of concept on a predictive maintenance use case using federated learning to continuously improve predictions of the remaining lifeβ¦β11Updated 5 years ago
- β80Updated 3 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).β51Updated 5 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAXβ105Updated last month
- β78Updated 5 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"β80Updated last year