autodp: A flexible and easy-to-use package for differential privacy
☆280Dec 5, 2023Updated 2 years ago
Alternatives and similar repositories for autodp
Users that are interested in autodp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆76Feb 15, 2024Updated 2 years ago
- Training PyTorch models with differential privacy☆1,921Apr 10, 2026Updated last week
- Code for computing tight guarantees for differential privacy☆23Mar 3, 2023Updated 3 years ago
- ☆24Apr 29, 2022Updated 3 years ago
- ☆10Jun 1, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Code for Auditing DPSGD☆39Feb 15, 2022Updated 4 years ago
- Library for training machine learning models with privacy for training data☆2,003Apr 6, 2026Updated last week
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Dec 8, 2022Updated 3 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆548Mar 27, 2026Updated 3 weeks ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆57Oct 19, 2023Updated 2 years ago
- Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)☆70Sep 26, 2022Updated 3 years ago
- A codebase that makes differentially private training of transformers easy.☆186Dec 9, 2022Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Dec 15, 2022Updated 3 years ago
- Diffprivlib: The IBM Differential Privacy Library☆911Sep 17, 2025Updated 7 months ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Algorithms for Privacy-Preserving Machine Learning in JAX☆163Updated this week
- ☆27Dec 15, 2022Updated 3 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Oct 7, 2018Updated 7 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Apr 29, 2021Updated 4 years ago
- ☆16Mar 30, 2023Updated 3 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Oct 26, 2021Updated 4 years ago
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆114Mar 6, 2026Updated last month
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 3 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Nov 5, 2018Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Jan 28, 2019Updated 7 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆707Apr 26, 2025Updated 11 months 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
- Robust Differentially Private Training of Deep Neural Networks☆12Dec 10, 2020Updated 5 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 5 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆414Updated this week
- Simulate a federated setting and run differentially private federated learning.☆389Mar 7, 2025Updated last year
- Sample LDP implementation in Python☆128Jul 26, 2023Updated 2 years ago
- list of differential-privacy related resources☆326Jan 10, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33May 18, 2021Updated 4 years ago
- ☆80May 22, 2022Updated 3 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆63Jun 16, 2020Updated 5 years ago
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆47May 30, 2024Updated last year
- A toolbox for differentially private data generation☆130Jul 6, 2023Updated 2 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Apr 29, 2021Updated 4 years ago
- ☆12Jun 17, 2022Updated 3 years ago