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 federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Jun 9, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [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 5 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
- Byzantine-robust Federated Learning☆16Sep 21, 2023Updated 2 years 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.
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Jan 29, 2020Updated 6 years ago
- An implementation of pneumonia medical X-ray image classification problem using Federated Learning in PySyft.☆13Jun 16, 2019Updated 7 years ago
- ☆16Dec 11, 2023Updated 2 years ago
- Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology …☆34Dec 7, 2023Updated 2 years ago
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆83Jul 23, 2024Updated 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☆322Jan 3, 2026Updated 6 months ago
- Implementation and results for ICTIR2021 paper: Effective and Privacy-preserving Federated Online Learning to Rank☆11Jul 24, 2021Updated 5 years ago
- 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.
- 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☆93Sep 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 6 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆27Aug 22, 2022Updated 3 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 5 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- 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
- 基于phe库的安全多方计算协议实现☆11Jun 1, 2022Updated 4 years ago
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆21May 23, 2024Updated 2 years ago
- Code for the DP cross-silo federated learning paper☆11Jul 10, 2020Updated 6 years ago
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆18Jun 2, 2022Updated 4 years ago
- This is a code that combines federated learning with differential privacy for transformer fault diagnosis.☆27Apr 20, 2023Updated 3 years ago
- # Cervical_cancer_detection_using_ML # Introduction According to World Health Organisation (WHO), when detected at an early stage, cervic…☆12Jun 18, 2022Updated 4 years ago