git-disl / DataPoisoning_FL
Code for Data Poisoning Attacks Against Federated Learning Systems
☆169Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for DataPoisoning_FL
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆135Updated 2 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆176Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆74Updated last year
- Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning☆133Updated 3 months ago
- A sybil-resilient distributed learning protocol.☆94Updated last year
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆41Updated last year
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆115Updated last year
- ☆45Updated last year
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆52Updated 2 months ago
- Robust aggregation for federated learning with the RFA algorithm.☆45Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆37Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆160Updated 3 years ago
- ☆32Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆33Updated 5 months ago
- ☆37Updated 9 months ago
- Differentially Private Federated Learning on Heterogeneous Data☆59Updated 2 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆43Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆43Updated last year
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆272Updated 3 months ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆146Updated 2 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆144Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆137Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆286Updated last year
- ☆53Updated last year
- ☆65Updated 2 years ago
- ☆38Updated 3 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆31Updated last month
- Accenture Labs Federated Learning☆93Updated 8 months ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year