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
Sorting:
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Feb 8, 2021Updated 5 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Jul 16, 2020Updated 5 years ago
- ☆13Sep 12, 2021Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Jun 9, 2021Updated 4 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆76Feb 9, 2025Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆73Feb 22, 2022Updated 4 years ago
- Membership Inference Attack on Federated Learning☆12Jan 14, 2022Updated 4 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Apr 28, 2025Updated 10 months ago
- 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 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Nov 28, 2022Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Jan 29, 2020Updated 6 years ago
- Byzantine-robust Federated Learning☆16Sep 21, 2023Updated 2 years 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
- Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference…☆127May 1, 2023Updated 2 years ago
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆83Jul 23, 2024Updated last year
- Research simulation toolkit for federated learning☆13Nov 7, 2020Updated 5 years ago
- Implementation and results for ICTIR2021 paper: Effective and Privacy-preserving Federated Online Learning to Rank☆10Jul 24, 2021Updated 4 years ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆24Jun 9, 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
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆26Aug 22, 2022Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆315Jan 3, 2026Updated 2 months ago
- 基于phe库的安全多方计算协议实现☆11Jun 1, 2022Updated 3 years ago
- An implementation of pneumonia medical X-ray image classification problem using Federated Learning in PySyft.☆12Jun 16, 2019Updated 6 years ago
- Code for the DP cross-silo federated learning paper☆11Jul 10, 2020Updated 5 years ago
- Blockchain Enabled Asynchronous and Secure Federated Machine Learning☆12May 21, 2021Updated 4 years ago
- Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology …☆32Dec 7, 2023Updated 2 years ago
- Official repository of the paper "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning".☆12Mar 28, 2022Updated 3 years ago
- Useful tools for differential privacy☆219Sep 11, 2022Updated 3 years ago
- ☆15Aug 29, 2023Updated 2 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 5 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 4 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆92Aug 4, 2019Updated 6 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆37May 1, 2023Updated 2 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 2 years ago
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆18Jun 2, 2022Updated 3 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Nov 5, 2020Updated 5 years ago
- 同态加密☆21Dec 29, 2021Updated 4 years ago
- ☆17Apr 12, 2023Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆93Sep 10, 2024Updated last year