Algorithms for Privacy-Preserving Machine Learning in JAX
☆169May 14, 2026Updated last week
Alternatives and similar repositories for jax_privacy
Users that are interested in jax_privacy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆10Jun 1, 2022Updated 3 years ago
- ☆15Jun 5, 2023Updated 2 years ago
- Code for Auditing DPSGD☆39Feb 15, 2022Updated 4 years ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆145Jan 22, 2026Updated 4 months ago
- Computationally friendly hyper-parameter search with DP-SGD☆26Jan 7, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆37Mar 16, 2022Updated 4 years ago
- ☆13Oct 2, 2023Updated 2 years ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Jun 12, 2023Updated 2 years ago
- Repo for the paper "Bounding Training Data Reconstruction in Private (Deep) Learning".☆11Jun 16, 2023Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 4 years ago
- A codebase that makes differentially private training of transformers easy.☆189Dec 9, 2022Updated 3 years ago
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆113Nov 8, 2025Updated 6 months ago
- ☆80May 22, 2022Updated 4 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆77Feb 15, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- autodp: A flexible and easy-to-use package for differential privacy☆279Dec 5, 2023Updated 2 years ago
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆16Dec 1, 2021Updated 4 years ago
- ☆28Nov 28, 2023Updated 2 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Oct 7, 2018Updated 7 years ago
- Differentially Private Diffusion Models☆106Dec 26, 2023Updated 2 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Jun 23, 2022Updated 3 years ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆37May 30, 2025Updated 11 months ago
- ☆27Apr 15, 2024Updated 2 years ago
- Training PyTorch models with differential privacy☆1,928May 5, 2026Updated 2 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆714Apr 26, 2025Updated last year
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Jun 27, 2023Updated 2 years ago
- ☆23Dec 15, 2022Updated 3 years ago
- Library for training machine learning models with privacy for training data☆2,016May 11, 2026Updated last week
- Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".☆18May 31, 2023Updated 2 years ago
- ☆27Dec 15, 2022Updated 3 years ago
- Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy☆18Oct 9, 2024Updated last year
- A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.☆23May 26, 2022Updated 3 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆419Updated this week
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Differentially-private transformers using HuggingFace and Opacus☆148Aug 28, 2024Updated last year
- Code for fast dpsgd implementations in JAX/TF☆59Oct 12, 2022Updated 3 years ago
- Gradient-Leakage Resilient Federated Learning☆14Jul 25, 2022Updated 3 years ago
- Code for computing tight guarantees for differential privacy☆23Mar 3, 2023Updated 3 years ago
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆48Aug 17, 2021Updated 4 years ago
- Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)☆70Sep 26, 2022Updated 3 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated 2 years ago