Alternatives and similar repositories for Federated-Learning-Backdoor-Example-with-MNIST-and-CIFAR-10

Users that are interested in Federated-Learning-Backdoor-Example-with-MNIST-and-CIFAR-10 are comparing it to the libraries listed below

• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 4 years ago
• 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
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆17Updated last year
• 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"
  ☆19Updated last year
• xtLyu / CerP
  ☆15Updated 11 months 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
• jinghuichen / Focused-Flip-Federated-Backdoor-Attack
  Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning
  ☆38Updated 2 years ago
• 13thDayOfLunarMay / TECB-attack
  The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”
  ☆11Updated last year
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆18Updated 4 years ago
• najeebjebreel / FL-Defender
  FL-Defender: Combating Targeted Attacks in Federated Learning
  ☆1Updated 2 years ago
• xinjianluo / featureinference-vfl
  ☆25Updated 3 years ago
• ehsanul9511 / FLShield
  ☆15Updated last year
• Guncuke / flame-Taming-backdoor
  ☆23Updated last year
• jhcknzzm / Federated-Learning-Backdoor
  ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341
  ☆74Updated 2 years ago
• shaneson0 / attacking_federate_learning
  基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型
  ☆63Updated 4 years 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".
  ☆33Updated 2 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆69Updated 2 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
  ☆55Updated 5 months ago
• zhmzm / FLTrust_pytorch
  ☆37Updated last year
• moranant / attacking_distributed_learning
  An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)
  ☆26Updated last year
• HaFaZhang / A3FL
  ☆27Updated last year
• JiyaSu / ourFLTrust
  reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"
  ☆29Updated 2 years ago
• lsw3130104597 / Backdoor_detection
  Backdoor detection in Federated learning with similarity measurement
  ☆23Updated 3 years ago
• yjlee22 / byzantineFL
  PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
  ☆33Updated 7 months ago
• zhmzm / FLAME
  ☆29Updated last year
• siquanhuang / Multi-metrics
  Multi-metrics adaptively identifies backdoors in Federated learning
  ☆25Updated last year
• haoyangliASTAPLE / 3DFed
  ☆52Updated last year
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆73Updated 3 years ago
• zaixizhang / FLDetector
  The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…
  ☆82Updated 2 years ago
• BapFL / code
  Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning
  ☆13Updated last year