vaikkunth / PrivacyFLLinks
A Simulator for Privacy Preserving Federated Learning
☆96Updated 4 years ago
Alternatives and similar repositories for PrivacyFL
Users that are interested in PrivacyFL are comparing it to the libraries listed below
Sorting:
- Privacy Preserving Vertical Federated Learning☆219Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 3 years ago
- A sybil-resilient distributed learning protocol.☆104Updated last month
- Implementation of dp-based federated learning framework using PyTorch☆310Updated 2 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Updated 8 months ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆306Updated last year
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆49Updated 2 years ago
- Differential private machine learning☆195Updated 3 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆50Updated 3 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- A ledger for private and secure peer to peer machine learning☆109Updated 2 years ago
- Simulate a federated setting and run differentially private federated learning.☆382Updated 7 months ago
- federated-learning☆82Updated 2 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆148Updated 8 months ago
- autodp: A flexible and easy-to-use package for differential privacy☆275Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆85Updated 5 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆68Updated 3 years ago
- ☆72Updated 2 years ago
- ☆88Updated 5 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆89Updated 6 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆250Updated last year
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- This repository contains all the implementation of different papers on Federated Learning☆42Updated 5 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆200Updated 4 years ago
- ☆174Updated last year