Repository for collection of research papers on privacy.
☆343Jul 19, 2024Updated 2 years ago
Alternatives and similar repositories for Awesome-Privacy
Users that are interested in Awesome-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:
- Useful tools for differential privacy☆218Sep 11, 2022Updated 4 years ago
- Differential private machine learning☆200Feb 10, 2022Updated 4 years ago
- list of differential-privacy related resources☆329Jan 10, 2025Updated last year
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 5 years ago
- Library for training machine learning models with privacy for training data☆2,038Aug 26, 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.
- Quantifying Differential Privacy under Temporal Correlations☆12Mar 24, 2026Updated 6 months ago
- Training PyTorch models with differential privacy☆1,963Sep 24, 2026Updated 2 weeks ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- ☆341Sep 19, 2026Updated 3 weeks ago
- autodp: A flexible and easy-to-use package for differential privacy☆281Dec 5, 2023Updated 2 years ago
- Code for NIPS'2017 paper☆51Jul 16, 2020Updated 6 years ago
- Diffprivlib: The IBM Differential Privacy Library☆920Sep 23, 2026Updated 2 weeks ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆47Nov 25, 2019Updated 6 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Apr 29, 2021Updated 5 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.
- Statistical Counterexample Detector for Differential Privacy☆28Apr 4, 2024Updated 2 years ago
- Sample LDP implementation in Python☆132Jul 26, 2023Updated 3 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Apr 16, 2021Updated 5 years ago
- Simulate a federated setting and run differentially private federated learning.☆393Mar 7, 2025Updated last year
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆173Dec 11, 2022Updated 3 years ago
- Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with a…☆387Sep 2, 2025Updated last year
- Models built with TensorFlow☆18Dec 15, 2020Updated 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 7 years ago
- An awesome list of papers on privacy attacks against machine learning☆642Mar 18, 2024Updated 2 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.
- resources about federated learning and privacy in machine learning☆544Jun 26, 2024Updated 2 years ago
- ☆24Apr 29, 2022Updated 4 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Jan 15, 2021Updated 5 years ago
- All exercises from private AI Facebook Scholarship☆13Jul 21, 2019Updated 7 years ago
- ☆15Jun 5, 2023Updated 3 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆52Oct 7, 2018Updated 8 years ago
- ☆10Jan 18, 2022Updated 4 years ago
- ☆10Mar 16, 2021Updated 5 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Dec 15, 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.
- privacy preserving deep learning☆15Sep 11, 2017Updated 9 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆23Aug 12, 2020Updated 6 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆27Oct 15, 2020Updated 5 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33May 18, 2021Updated 5 years ago
- RAPPOR: Privacy-Preserving Reporting Algorithms☆868Jul 14, 2022Updated 4 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆58Oct 19, 2023Updated 2 years ago
- Web application that makes data releases that satisfy differential privacy using the OpenDP Library☆22Apr 17, 2026Updated 5 months ago