vaikkunth / PrivacyFLLinks
A Simulator for Privacy Preserving Federated Learning
☆94Updated 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☆218Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆303Updated 2 years ago
- Simulate a federated setting and run differentially private federated learning.☆382Updated 4 months ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Updated 5 months ago
- A sybil-resilient distributed learning protocol.☆106Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆66Updated 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☆108Updated 2 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆48Updated 2 years ago
- ☆88Updated 5 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆298Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- Differential private machine learning☆195Updated 3 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…☆88Updated 6 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆46Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆196Updated 4 years ago
- ☆54Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- ☆72Updated last year
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆142Updated 5 months ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 2 years ago
- ☆45Updated last year
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆40Updated last year