Alternatives and similar repositories for FLIP

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

• ksreenivasan / OOD_Federated_Learning
  ☆70Updated 3 years ago
• 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
• zhmzm / FLAME
  ☆33Updated last year
• HaFaZhang / A3FL
  ☆27Updated 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…
  ☆42Updated last week
• jhcknzzm / Federated-Learning-Backdoor
  ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341
  ☆74Updated 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".
  ☆34Updated 2 years ago
• sail-research / iba
  IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)
  ☆36Updated last week
• haoyangliASTAPLE / 3DFed
  ☆53Updated 2 years ago
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 4 years ago
• zhmzm / Poisoning_Backdoor-critical_Layers_Attack
  [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"
  ☆43Updated 9 months ago
• wanglun1996 / secure-robust-federated-learning
  ☆54Updated 2 years ago
• Guncuke / flame-Taming-backdoor
  ☆24Updated 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"
  ☆21Updated last year
• PhD-TaoLiu / FCBA
  The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".
  ☆20Updated last year
• ybdai7 / Backdoor-indicator-defense
  [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…
  ☆42Updated last week
• purp1eHaze / FedIPR
  Webank AI
  ☆42Updated 7 months ago
• FuChong-cyber / label-inference-attacks
  Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.
  ☆84Updated 2 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆64Updated 11 months 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
• Eyr3 / FLTracer
  FLTracer: Accurate Poisoning Attack Provenance in Federated Learning
  ☆22Updated last year
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆65Updated 4 years ago
• xtLyu / CerP
  ☆14Updated last year
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆73Updated 4 years ago
• AI-secure / DBA
  DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
  ☆197Updated 4 years ago
• siquanhuang / Multi-metrics
  Multi-metrics adaptively identifies backdoors in Federated learning
  ☆30Updated last month
• 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
• lsw3130104597 / Backdoor_detection
  Backdoor detection in Federated learning with similarity measurement
  ☆24Updated 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
• git-disl / Lockdown
  A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)
  ☆27Updated last year