Alternatives and similar repositories for source-inference-FL

Users that are interested in source-inference-FL are comparing it to the libraries listed below

• TinfoilHat0 / Defending-Against-Backdoors-with-Robust-Learning-Rate
  The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
  ☆34Updated 2 years ago
• abogdanova / FL-MIA
  Federated Learning and Membership Inference Attacks experiments on CIFAR10
  ☆22Updated 5 years ago
• yjlee22 / byzantineFL
  PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
  ☆34Updated 10 months ago
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆39Updated 4 years ago
• zaixizhang / FLDetector
  The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…
  ☆84Updated 2 years ago
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆18Updated 4 years ago
• Mr-Ace-1997 / Backdoor-Attack-Against-Split-Neural-Network-Based-Vertical-Federated-Learning
  The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"
  ☆20Updated last year
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆19Updated 2 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆58Updated 2 years ago
• ybdai7 / Backdoor-indicator-defense
  [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…
  ☆41Updated 11 months ago
• vrt1shjwlkr / NDSS21-Model-Poisoning
  Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
  ☆147Updated 3 years ago
• cpwan / Attack-Adaptive-Aggregation-in-Federated-Learning
  This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.
  ☆45Updated 2 years ago
• warisgill / FedDefender
  FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).
  ☆15Updated last year
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆51Updated 2 years ago
• BapFL / code
  Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning
  ☆14Updated last year
• jinghuichen / Focused-Flip-Federated-Backdoor-Attack
  Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning
  ☆40Updated 2 years ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆67Updated 3 years ago
• git-disl / CPL_attack
  ☆37Updated 3 years ago
• KaiyuanZh / FLIP
  [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
  ☆59Updated 8 months ago
• JingHongyi / Federated-Learning-Backdoor-Example-with-MNIST-and-CIFAR-10
  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…
  ☆14Updated 5 years ago
• BHui97 / PrivateFL
  ☆42Updated 2 years ago
• git-disl / DataPoisoning_FL
  Code for Data Poisoning Attacks Against Federated Learning Systems
  ☆200Updated 4 years ago
• zhmzm / FLTrust_pytorch
  ☆39Updated last year
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆63Updated 11 months ago
• jeremy313 / FL-WBC
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆42Updated 3 years ago
• jhcknzzm / Federated-Learning-Backdoor
  ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341
  ☆73Updated 2 years ago
• haoyangliASTAPLE / 3DFed
  ☆52Updated 2 years ago
• thecml / dpsgd-optimizer
  Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…
  ☆41Updated last year
• inspire-group / ModelPoisoning
  Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
  ☆151Updated 2 years ago
• zhmzm / FLAME
  ☆32Updated last year