Billy1900 / Awesome-Differential-PrivacyView external linksLinks
Differential private machine learning
☆200Feb 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
Sorting:
- Useful tools for differential privacy☆219Sep 11, 2022Updated 3 years ago
- Repository for collection of research papers on privacy.☆345Jul 19, 2024Updated last year
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 4 years ago
- Implementation of dp-based federated learning framework using PyTorch☆315Jan 3, 2026Updated last month
- list of differential-privacy related resources☆326Jan 10, 2025Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Nov 28, 2022Updated 3 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
- Diffprivlib: The IBM Differential Privacy Library☆903Sep 17, 2025Updated 4 months ago
- This repo implements several algorithms for learning with differential privacy.☆110Dec 15, 2022Updated 3 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Apr 29, 2021Updated 4 years ago
- Quantifying Differential Privacy under Temporal Correlations☆12May 13, 2023Updated 2 years ago
- A curated list of awesome privacy preserving machine learning resources☆14May 17, 2020Updated 5 years ago
- Code for NIPS'2017 paper☆51Jul 16, 2020Updated 5 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆26Mar 19, 2025Updated 10 months 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
- 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☆10Sep 7, 2018Updated 7 years ago
- Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.☆31Dec 20, 2025Updated last month
- autodp: A flexible and easy-to-use package for differential privacy☆278Dec 5, 2023Updated 2 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Apr 29, 2021Updated 4 years ago
- Simulate a federated setting and run differentially private federated learning.☆386Mar 7, 2025Updated 11 months ago
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Apr 5, 2021Updated 4 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Feb 13, 2020Updated 6 years ago
- ☆333Dec 25, 2025Updated last month
- Sample LDP implementation in Python☆128Jul 26, 2023Updated 2 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆544Nov 7, 2025Updated 3 months ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 3 years ago
- Differential Privacy Protection against MembershipInference Attack on Machine Learning for Genomic Data☆18Aug 4, 2020Updated 5 years ago
- Shamir Secret Sharing library☆17Nov 22, 2022Updated 3 years ago
- Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"☆13Nov 19, 2021Updated 4 years ago
- Google's differential privacy libraries.☆3,283Feb 6, 2026Updated last week
- Analytic calibration for differential privacy with Gaussian perturbations☆51Oct 7, 2018Updated 7 years ago
- An implementation of Deep Learning with Differential Privacy☆26Mar 25, 2023Updated 2 years ago
- Privacy-Preserving Data Analysis using Pandas☆22Oct 16, 2021Updated 4 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Nov 22, 2021Updated 4 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆46Feb 12, 2019Updated 7 years ago
- Library for training machine learning models with privacy for training data☆1,998Jan 27, 2026Updated 2 weeks ago
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆21Dec 25, 2023Updated 2 years ago
- A codebase that makes differentially private training of transformers easy.☆183Dec 9, 2022Updated 3 years ago