Library for training machine learning models with privacy for training data
☆2,003Mar 10, 2026Updated last week
Alternatives and similar repositories for privacy
Users that are interested in privacy are comparing it to the libraries listed below
Sorting:
- Training PyTorch models with differential privacy☆1,912Updated this week
- Diffprivlib: The IBM Differential Privacy Library☆907Sep 17, 2025Updated 6 months ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆137Dec 8, 2022Updated 3 years ago
- Google's differential privacy libraries.☆3,293Feb 18, 2026Updated last month
- An open-source framework for machine learning and other computations on decentralized data.☆2,429Updated this week
- autodp: A flexible and easy-to-use package for differential privacy☆279Dec 5, 2023Updated 2 years ago
- A Framework for Encrypted Machine Learning in TensorFlow☆1,244Sep 25, 2024Updated last year
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆704Apr 26, 2025Updated 10 months ago
- Perform data science on data that remains in someone else's server☆9,863Jul 15, 2025Updated 8 months ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆545Nov 7, 2025Updated 4 months ago
- Simulate a federated setting and run differentially private federated learning.☆388Mar 7, 2025Updated last year
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 4 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Apr 29, 2021Updated 4 years ago
- Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.☆402Dec 3, 2019Updated 6 years ago
- Code for Auditing DPSGD☆39Feb 15, 2022Updated 4 years ago
- A framework for Privacy Preserving Machine Learning☆1,640Nov 23, 2024Updated last year
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆199Nov 15, 2017Updated 8 years ago
- Repository for collection of research papers on privacy.☆344Jul 19, 2024Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆317Jan 3, 2026Updated 2 months ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆76Feb 15, 2024Updated 2 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆159Updated this week
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆183Apr 20, 2021Updated 4 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆409Updated this week
- Code for fast dpsgd implementations in JAX/TF☆59Oct 12, 2022Updated 3 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆46Nov 29, 2021Updated 4 years ago
- list of differential-privacy related resources☆326Jan 10, 2025Updated last year
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆746Jun 10, 2025Updated 9 months ago
- Statistical Counterexample Detector for Differential Privacy☆28Apr 4, 2024Updated last year
- An awesome list of papers on privacy attacks against machine learning☆634Mar 18, 2024Updated 2 years ago
- A library for running membership inference attacks against ML models☆152Dec 8, 2022Updated 3 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆71Nov 29, 2018Updated 7 years ago
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆47Apr 22, 2022Updated 3 years ago
- A codebase that makes differentially private training of transformers easy.☆185Dec 9, 2022Updated 3 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Nov 25, 2019Updated 6 years ago
- RAPPOR: Privacy-Preserving Reporting Algorithms☆870Jul 14, 2022Updated 3 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆133Apr 9, 2024Updated last year
- A TensorFlow (Python 3) implementation of a differentially-private-GAN.☆20Feb 21, 2020Updated 6 years ago
- ☆80May 22, 2022Updated 3 years ago
- An adversarial example library for constructing attacks, building defenses, and benchmarking both☆6,425Apr 10, 2024Updated last year