Differential private machine learning
☆201Feb 10, 2022Updated 4 years ago
Alternatives and similar repositories for Awesome-Differential-Privacy
Users that are interested in Awesome-Differential-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:
- Repository for collection of research papers on privacy.☆344Jul 19, 2024Updated 2 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 5 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Jan 15, 2021Updated 5 years ago
- 本项目实现自《差分隐私下满足一致性的轨迹流量发布方法》，作者蔡剑平☆12Sep 2, 2019Updated 6 years ago
- Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with a…☆389Sep 2, 2025Updated 10 months 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.
- list of differential-privacy related resources☆327Jan 10, 2025Updated last year
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Apr 29, 2021Updated 5 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Apr 13, 2020Updated 6 years ago
- code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16☆47Jan 19, 2017Updated 9 years ago
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆12Sep 7, 2018Updated 7 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆27Mar 19, 2025Updated last year
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆425Oct 26, 2024Updated last year
- Code for NIPS'2017 paper☆51Jul 16, 2020Updated 6 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆173Dec 11, 2022Updated 3 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.
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆11Feb 13, 2020Updated 6 years ago
- Training PyTorch models with differential privacy☆1,944Jul 13, 2026Updated 2 weeks ago
- Shamir Secret Sharing library☆16Nov 22, 2022Updated 3 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Oct 7, 2018Updated 7 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 4 years ago
- 建立基于差分隐私的贝叶斯网络，使得结构化数据同时兼备隐私性与效用性☆30Jan 31, 2021Updated 5 years ago
- Sample LDP implementation in Python☆130Jul 26, 2023Updated 3 years ago
- ☆335Apr 14, 2026Updated 3 months ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆25Jan 20, 2019Updated 7 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Simulate a federated setting and run differentially private federated learning.☆393Mar 7, 2025Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆279Dec 5, 2023Updated 2 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆549May 11, 2026Updated 2 months ago
- Implementation of DataFly for K-anonymity, and implemented Laplace Mechanism and Exponential Mechanism for Differential Privacy☆41Feb 28, 2019Updated 7 years ago
- A curated list of awesome privacy preserving machine learning resources☆17May 17, 2020Updated 6 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆51Jul 3, 2023Updated 3 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆426Updated this week
- Google's differential privacy libraries.☆3,337Updated this week
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆34Apr 29, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Library for training machine learning models with privacy for training data☆2,021Jul 8, 2026Updated 3 weeks ago
- [NeurIPS 2020] Simple and practical private mean and covariance estimation.☆35Oct 4, 2020Updated 5 years ago
- DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)☆11Oct 14, 2023Updated 2 years ago
- ☆20Apr 10, 2019Updated 7 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆63Jun 16, 2020Updated 6 years ago
- Python implementation of differential privacy using Laplace mechanism☆11Apr 13, 2026Updated 3 months ago
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆23Dec 25, 2023Updated 2 years ago