Alternatives and similar repositories for VFL_Survey

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

• 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
• zlijingtao / ResSFL
  Official Repository for ResSFL (accepted by CVPR '22)
  ☆21Updated 3 years ago
• FangXiuwen / Robust_FL
  ☆49Updated 5 months ago
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 4 years ago
• shaojiawei07 / Selective-FD
  ☆30Updated last year
• 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
• OscarcarLi / label-protection
  Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).
  ☆23Updated 3 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
• ksreenivasan / OOD_Federated_Learning
  ☆70Updated 3 years 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
• YuchenLiu-a / byzantine-gas
  Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".
  ☆14Updated 2 years ago
• wanglun1996 / secure-robust-federated-learning
  ☆55Updated 2 years ago
• HaFaZhang / A3FL
  ☆26Updated last year
• zhmzm / FLAME
  ☆30Updated last year
• XinyiYS / Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning
  Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…
  ☆23Updated 8 months ago
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆18Updated 4 years ago
• siquanhuang / Multi-metrics
  Multi-metrics adaptively identifies backdoors in Federated learning
  ☆27Updated last week
• jeremy313 / FL-WBC
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆42Updated 3 years ago
• PhD-TaoLiu / FCBA
  The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".
  ☆20Updated last year
• zlh-thu / DPFL
  A Fine-grained Differentially Private Federated Learning against Leakage from Gradients
  ☆14Updated 2 years ago
• BapFL / code
  Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning
  ☆13Updated last year
• zaixizhang / FLDetector
  The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…
  ☆84Updated 2 years ago
• abbottyanginchina / Awesome-Federated-Unlearning
  Awesome Federated Unlearning (FU) Papers (Continually Update)
  ☆93Updated last year
• zhmzm / Poisoning_Backdoor-critical_Layers_Attack
  [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"
  ☆38Updated 6 months ago
• Guncuke / flame-Taming-backdoor
  ☆23Updated last year
• IBM / federated-unlearning
  Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)
  ☆38Updated last month
• daiqing98 / FedCIL
  Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning
  ☆29Updated 2 years ago
• git-disl / CPL_attack
  ☆37Updated 3 years ago
• zj-jayzhang / DENSE
  Official PyTorch implementation of DENSE (NeurIPS 2022)
  ☆30Updated 2 years ago
• zhmzm / FLTrust_pytorch
  ☆39Updated last year