DistributedML / FoolsGold
A sybil-resilient distributed learning protocol.
☆94Updated 10 months ago
Related projects: ⓘ
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆134Updated 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
- Code for Data Poisoning Attacks Against Federated Learning Systems☆164Updated 3 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆33Updated 3 months ago
- Robust aggregation for federated learning with the RFA algorithm.☆42Updated 2 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆174Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆70Updated last year
- ☆50Updated last year
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆69Updated 3 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆48Updated 3 months ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆147Updated last year
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆37Updated 2 years ago
- ☆32Updated last year
- ☆39Updated 3 years ago
- ☆36Updated 7 months ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆30Updated last year
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆60Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆56Updated 2 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆18Updated 4 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆22Updated 2 years ago
- ☆34Updated 2 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆13Updated 4 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆35Updated last year
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆19Updated 3 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆24Updated last year
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆139Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆111Updated last year