Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, etc.
☆61Feb 4, 2022Updated 4 years ago
Alternatives and similar repositories for data-privacy
Users that are interested in data-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:
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Feb 8, 2021Updated 5 years ago
- ☆12Sep 12, 2021Updated 4 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆38Jul 16, 2020Updated 6 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Feb 9, 2025Updated last year
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆72Dec 15, 2020Updated 5 years 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.
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Jun 9, 2021Updated 5 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Apr 28, 2025Updated last year
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆23Jun 9, 2022Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆77Feb 22, 2022Updated 4 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆34Nov 17, 2022Updated 3 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆23Aug 12, 2020Updated 6 years ago
- Membership Inference Attack on Federated Learning☆13Jan 14, 2022Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆47Nov 28, 2022Updated 3 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆425Oct 26, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Byzantine-robust Federated Learning☆16Sep 21, 2023Updated 2 years ago
- Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference…☆130May 1, 2023Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Jan 29, 2020Updated 6 years ago
- ☆19Jun 11, 2021Updated 5 years ago
- Secure Aggregation for FL☆39Nov 25, 2023Updated 2 years ago
- ☆16Dec 11, 2023Updated 2 years ago
- Research simulation toolkit for federated learning☆13Nov 7, 2020Updated 5 years ago
- This project studied homomorphic encryption and attempted to apply it in training machine learning models. We trained some models on plai…☆13Aug 23, 2022Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆323Jan 3, 2026Updated 7 months 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.
- Implementation and results for ICTIR2021 paper: Effective and Privacy-preserving Federated Online Learning to Rank☆11Jul 24, 2021Updated 5 years ago
- 联邦学习相关学习笔记☆11Apr 20, 2021Updated 5 years ago
- Membership inference against Federated learning.☆10May 30, 2021Updated 5 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆92Sep 10, 2024Updated last year
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆24Jun 9, 2020Updated 6 years ago
- ☆10Jan 31, 2022Updated 4 years ago
- 同态加密☆21Dec 29, 2021Updated 4 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆93Aug 4, 2019Updated 7 years ago
- Useful tools for differential privacy☆218Sep 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.
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆27Aug 22, 2022Updated 3 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆32Jun 16, 2022Updated 4 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 5 years ago
- MIT开发的支持整数向量的同态加密 支持向量的加法，乘法和内积☆15Jun 12, 2020Updated 6 years ago
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆21May 23, 2024Updated 2 years ago
- 基于phe库的安全多方计算协议实现☆11Jun 1, 2022Updated 4 years ago
- Code for the DP cross-silo federated learning paper☆11Jul 10, 2020Updated 6 years ago