Alternatives and similar repositories for OOD_Federated_Learning

Users that are interested in OOD_Federated_Learning are comparing it to the libraries listed below

• KaiyuanZh / FLIP
  [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
  ☆56Updated 5 months ago
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆37Updated 4 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
• 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
• 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
• wanglun1996 / secure-robust-federated-learning
  ☆55Updated 2 years ago
• ybdai7 / Chameleon-durable-backdoor
  [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…
  ☆41Updated 5 months ago
• HaFaZhang / A3FL
  ☆27Updated last year
• zaixizhang / FLDetector
  The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…
  ☆83Updated 2 years ago
• zhmzm / Poisoning_Backdoor-critical_Layers_Attack
  [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"
  ☆37Updated 5 months ago
• zhmzm / FLAME
  ☆29Updated last year
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆72Updated 3 years ago
• ybdai7 / Backdoor-indicator-defense
  [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…
  ☆36Updated 8 months ago
• jeremy313 / FL-WBC
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆40Updated 3 years ago
• siquanhuang / Multi-metrics
  Multi-metrics adaptively identifies backdoors in Federated learning
  ☆26Updated last year
• haoyangliASTAPLE / 3DFed
  ☆53Updated 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
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆56Updated 2 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"
  ☆19Updated last year
• sail-research / iba
  IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)
  ☆36Updated last year
• xtLyu / CerP
  ☆14Updated 11 months ago
• zhuohangli / GGL
  A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".
  ☆58Updated 2 years ago
• Guncuke / flame-Taming-backdoor
  ☆22Updated last year
• krishnap25 / RFA
  Robust aggregation for federated learning with the RFA algorithm.
  ☆48Updated 2 years ago
• ehsanul9511 / FLShield
  ☆15Updated last year
• vrt1shjwlkr / NDSS21-Model-Poisoning
  Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
  ☆144Updated 2 years ago
• BapFL / code
  Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning
  ☆13Updated last year
• purp1eHaze / FedIPR
  Webank AI
  ☆41Updated 3 months ago
• BHui97 / PrivateFL
  ☆40Updated 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