Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
☆49Apr 29, 2021Updated 5 years ago
Alternatives and similar repositories for Deep-Learning-with-GDP-Tensorflow
Users that are interested in Deep-Learning-with-GDP-Tensorflow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Apr 16, 2021Updated 5 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Apr 29, 2021Updated 5 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 5 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆23Aug 12, 2020Updated 5 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Mar 1, 2018Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Fork of the differential privacy module of TF/models/research☆14Oct 9, 2019Updated 6 years ago
- Differentially Private Conditional Generative Adversarial Network☆31Oct 12, 2021Updated 4 years ago
- Code for computing tight guarantees for differential privacy☆23Mar 3, 2023Updated 3 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆27Oct 15, 2020Updated 5 years ago
- Differentially Private Deep Learning in PyTorch☆30Sep 27, 2021Updated 4 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
- Models built with TensorFlow☆18Dec 15, 2020Updated 5 years ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆49Aug 30, 2022Updated 3 years ago
- Library for training machine learning models with privacy for training data☆2,016May 11, 2026Updated 2 weeks ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Differential privacy implementation in the Java family of languages (Java, Kotlin, Scala etc...)☆11Aug 31, 2020Updated 5 years ago
- simple Differential Privacy in PyTorch☆49May 29, 2020Updated 5 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆76Feb 9, 2025Updated last year
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Oct 4, 2022Updated 3 years ago
- All exercises from private AI Facebook Scholarship☆13Jul 21, 2019Updated 6 years ago
- Quantifying Differential Privacy under Temporal Correlations☆12Mar 24, 2026Updated 2 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
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 years ago
- 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.
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Jan 28, 2019Updated 7 years ago
- Final project for Lesson 6: Differential privacy for deep learning in the Facebook and Udacity Secure and Private AI scholarship nanodeg…☆22Oct 14, 2019Updated 6 years ago
- Implementation of NRMS "Neural News Recommendation with Multi-Head Self-Attention" (EMNLP2019), in Pytorch☆10Jan 20, 2021Updated 5 years ago
- Training PyTorch models with differential privacy☆1,928May 5, 2026Updated 2 weeks ago
- FactorGAN - Training GANs with missing data☆36Jul 25, 2024Updated last year
- ☆18Feb 7, 2024Updated 2 years ago
- Repository for collection of research papers on privacy.☆343Jul 19, 2024Updated last year
- This repo implements several algorithms for learning with differential privacy.☆110Dec 15, 2022Updated 3 years ago
- A Privacy Preserving Data Mining Platform☆46Jul 10, 2012Updated 13 years ago
- 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.
- Useful tools for differential privacy☆219Sep 11, 2022Updated 3 years ago
- Robust Differentially Private Training of Deep Neural Networks☆12Dec 10, 2020Updated 5 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆31May 1, 2024Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Feb 8, 2021Updated 5 years ago
- ☆12Sep 17, 2019Updated 6 years ago
- ☆24Apr 29, 2022Updated 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