Alternatives and similar repositories for Learning-to-Attack-Federated-Learning:

Users that are interested in Learning-to-Attack-Federated-Learning are comparing it to the libraries listed below

• jeremy313 / FL-WBC
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆39Updated 3 years ago
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 4 years ago
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆18Updated 4 years ago
• ybdai7 / Backdoor-indicator-defense
  [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…
  ☆33Updated 6 months ago
• ari-dasci / S-DDaBA
  Official repository of the paper "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning".
  ☆12Updated 3 years ago
• wanglun1996 / secure-robust-federated-learning
  ☆54Updated 2 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.
  ☆44Updated last year
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆17Updated last year
• zaixizhang / FLDetector
  The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…
  ☆80Updated 2 years ago
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆47Updated last year
• KaiyuanZh / FLIP
  [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
  ☆53Updated 4 months ago
• 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".
  ☆31Updated 2 years ago
• siquanhuang / Multi-metrics
  Multi-metrics adaptively identifies backdoors in Federated learning
  ☆24Updated last year
• 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 4 years ago
• epfml / byzantine-robust-optimizer
  Learning from history for Byzantine Robustness
  ☆22Updated 3 years ago
• gongzhimin / Membership-Inference-Attack-in-Federated-Learning
  Membership inference against Federated learning.
  ☆9Updated 3 years ago
• BapFL / code
  Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning
  ☆12Updated last year
• HaFaZhang / A3FL
  ☆27Updated last year
• jinghuichen / Focused-Flip-Federated-Backdoor-Attack
  Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning
  ☆37Updated 2 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆69Updated 2 years ago
• abogdanova / FL-MIA
  Federated Learning and Membership Inference Attacks experiments on CIFAR10
  ☆21Updated 5 years ago
• JianXu95 / SignGuard
  ☆11Updated 2 years ago
• JiyaSu / ourFLTrust
  reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"
  ☆29Updated 2 years ago
• Guncuke / flame-Taming-backdoor
  ☆21Updated last year
• ybdai7 / Chameleon-durable-backdoor
  [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…
  ☆39Updated 3 months ago
• warisgill / FedDefender
  FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).
  ☆14Updated 9 months ago
• zhmzm / FLAME
  ☆26Updated last year
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆72Updated 3 years ago
• ehsanul9511 / FLShield
  ☆14Updated last year
• yjlee22 / byzantineFL
  PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
  ☆33Updated 6 months ago