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"☆34Apr 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 6 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Mar 1, 2018Updated 8 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.
- 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
- Repository for the EDBT'23 paper "Frequency Estimation of Evolving Data Under Local Differential Privacy".☆12Aug 1, 2023Updated 3 years ago
- Fork of the differential privacy module of TF/models/research☆15Oct 9, 2019Updated 6 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
- ☆10Oct 18, 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
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆12Sep 7, 2018Updated 7 years ago
- 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.
- A concise primer on Differential Privacy☆29Jun 24, 2020Updated 6 years ago
- Differentially Private Clustering in High-Dimensional Euclidean Spaces☆12Dec 30, 2017Updated 8 years ago
- Library for training machine learning models with privacy for training data☆2,022Jul 8, 2026Updated last month
- Differential privacy implementation in the Java family of languages (Java, Kotlin, Scala etc...)☆11Aug 31, 2020Updated 5 years ago
- Python implementation of differential privacy using Laplace mechanism☆11Apr 13, 2026Updated 4 months ago
- autodp: A flexible and easy-to-use package for differential privacy☆279Dec 5, 2023Updated 2 years ago
- simple Differential Privacy in PyTorch☆49May 29, 2020Updated 6 years ago
- Code for NIPS'2017 paper☆51Jul 16, 2020Updated 6 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Feb 9, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- 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 7 years ago
- Quantifying Differential Privacy under Temporal Correlations☆12Mar 24, 2026Updated 4 months ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆45Nov 29, 2021Updated 4 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 7 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Jan 15, 2021Updated 5 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Oct 7, 2018Updated 7 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Jan 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
- 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.
- Simulate a federated setting and run differentially private federated learning.☆393Mar 7, 2025Updated last year
- distributed federated learning for pytorch☆14Mar 19, 2018Updated 8 years ago
- Training PyTorch models with differential privacy☆1,949Jul 13, 2026Updated last month
- ☆20Apr 10, 2019Updated 7 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Dec 15, 2022Updated 3 years ago
- Repository for collection of research papers on privacy.☆344Jul 19, 2024Updated 2 years ago
- A Privacy Preserving Data Mining Platform☆46Jul 10, 2012Updated 14 years ago