vaikkunth / PrivacyFL
A Simulator for Privacy Preserving Federated Learning
☆93Updated 4 years ago
Alternatives and similar repositories for PrivacyFL:
Users that are interested in PrivacyFL are comparing it to the libraries listed below
- Privacy Preserving Vertical Federated Learning☆217Updated last year
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 4 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆147Updated 2 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆73Updated last month
- A sybil-resilient distributed learning protocol.☆101Updated last year
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆44Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆295Updated 2 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆131Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- ☆83Updated 4 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆289Updated 7 months ago
- A ledger for private and secure peer to peer machine learning☆108Updated last year
- ☆172Updated 4 months ago
- Differentially Private Federated Learning on Heterogeneous Data☆61Updated 3 years ago
- ☆73Updated last year
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated 11 months ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆141Updated last month
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆83Updated 5 years ago
- vertical federated learning paper lists☆75Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆141Updated 2 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆48Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆184Updated 3 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆28Updated 3 years ago
- ☆52Updated 2 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆184Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆32Updated 4 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆76Updated 3 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆133Updated 3 years ago