Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
☆33Apr 29, 2021Updated 5 years ago
Alternatives and similar repositories for Deep-Learning-with-GDP-Pytorch
Users that are interested in Deep-Learning-with-GDP-Pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Apr 29, 2021Updated 5 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Dec 15, 2022Updated 3 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆44Apr 12, 2024Updated 2 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆27Mar 19, 2025Updated last year
- Python implementation of differential privacy using Laplace mechanism☆11Apr 13, 2026Updated last month
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆76Feb 9, 2025Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆77Feb 22, 2022Updated 4 years ago
- Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".☆18May 31, 2023Updated 2 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆24May 18, 2022Updated 4 years ago
- Repository for the EDBT'23 paper "Frequency Estimation of Evolving Data Under Local Differential Privacy".☆12Aug 1, 2023Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆320Jan 3, 2026Updated 4 months ago
- The implementation of FedMix☆11Aug 18, 2022Updated 3 years ago
- Differentially Private Conditional Generative Adversarial Network☆31Oct 12, 2021Updated 4 years ago
- ☆19Jun 15, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Improved DP-SGD for optimizing☆20Mar 23, 2019Updated 7 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆134Sep 30, 2024Updated last year
- DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.☆23Sep 27, 2021Updated 4 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 5 years ago
- Code for NIPS'2017 paper☆51Jul 16, 2020Updated 5 years ago
- Likelihood Ratio Attack (LiRA) in PyTorch☆16Mar 3, 2025Updated last year
- Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)☆70Sep 26, 2022Updated 3 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆421Oct 26, 2024Updated last year
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Oct 31, 2020Updated 5 years 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.
- This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"☆28Oct 3, 2022Updated 3 years ago
- Models built with TensorFlow☆18Dec 15, 2020Updated 5 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆28Sep 28, 2024Updated last year
- 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
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Feb 17, 2022Updated 4 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆279Dec 5, 2023Updated 2 years ago
- ☆13Feb 24, 2020Updated 6 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Feb 8, 2021Updated 5 years ago
- ☆15Jun 5, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Federated Learning Experiments for Remote Sensing image data using convolution neural networks☆16Aug 5, 2021Updated 4 years ago
- 构建一个加密图像检索系统,通过使用深度学习算法对存储的图像进行分类和标记,并以此作为图 像检索的依据,并设计一个检索算法,进而提高加密图像检索的准确性和效率。该算法主要运行在图像检索服务器端。 框架:Pytorch☆15Dec 8, 2022Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆47Nov 28, 2022Updated 3 years ago
- Differentially Private Deep Learning in PyTorch☆30Sep 27, 2021Updated 4 years ago
- ☆10Oct 18, 2021Updated 4 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
- Training PyTorch models with differential privacy☆1,928May 5, 2026Updated 3 weeks ago