Alternatives and similar repositories for flame-Taming-backdoor:

Users that are interested in flame-Taming-backdoor are comparing it to the libraries listed below

• haoyangliASTAPLE / 3DFed
  ☆48Updated last year
• zhmzm / FLAME
  ☆26Updated last year
• xtLyu / CerP
  ☆13Updated 9 months ago
• ehsanul9511 / FLShield
  ☆14Updated last year
• HaFaZhang / A3FL
  ☆25Updated last year
• lsw3130104597 / Backdoor_detection
  Backdoor detection in Federated learning with similarity measurement
  ☆23Updated 2 years ago
• jinghuichen / Focused-Flip-Federated-Backdoor-Attack
  Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning
  ☆37Updated last year
• zhmzm / FLTrust_pytorch
  ☆36Updated last year
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 3 years ago
• zaixizhang / FLDetector
  The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…
  ☆75Updated 2 years ago
• sail-research / iba
  IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)
  ☆34Updated last year
• siquanhuang / Multi-metrics
  Multi-metrics adaptively identifies backdoors in Federated learning
  ☆24Updated last year
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆47Updated last year
• xinjianluo / featureinference-vfl
  ☆25Updated 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
  ☆53Updated 3 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 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
• JiyaSu / ourFLTrust
  reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"
  ☆29Updated 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
• PhD-TaoLiu / FCBA
  The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".
  ☆19Updated last year
• ksreenivasan / OOD_Federated_Learning
  ☆69Updated 2 years ago
• xiyuanyang45 / DynamicPFL
  nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy
  ☆64Updated 6 months 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"
  ☆17Updated last year
• git-disl / Lockdown
  A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)
  ☆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…
  ☆38Updated 2 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
• FuChong-cyber / label-inference-attacks
  Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.
  ☆84Updated last year
• jhcknzzm / Federated-Learning-Backdoor
  ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341
  ☆70Updated last year
• JianXu95 / SignGuard
  ☆12Updated last year
• 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