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☆221Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆76Updated 10 months ago
- A ledger for private and secure peer to peer machine learning☆111Updated 2 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 3 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆307Updated last year
- A sybil-resilient distributed learning protocol.☆107Updated 3 months ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆314Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆53Updated 2 years ago
- Differential private machine learning☆198Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆70Updated 3 years ago
- Simulate a federated setting and run differentially private federated learning.☆384Updated 9 months ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆278Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆93Updated 6 years ago
- federated-learning☆86Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆52Updated 3 years ago
- personal implementation of secure aggregation protocol☆47Updated last year
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Updated 4 years ago
- ☆90Updated 5 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆205Updated 4 years ago
- ☆73Updated 2 years ago
- Privacy-Preserving Gradient Boosting Decision Trees (AAAI 2020)☆27Updated 2 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆202Updated 4 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆43Updated last year
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Updated 5 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆24Updated 4 years ago