git-disl / CPL_attack

Related projects: ⓘ

• jeremy313 / FL-WBC
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆37Updated 2 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆52Updated last year
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆39Updated 3 years ago
• wanglun1996 / secure-robust-federated-learning
  ☆50Updated last year
• zaixizhang / FLDetector
  The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…
  ☆70Updated last year
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆69Updated 3 years ago
• SPIN-UMass / MembershipWhiteboxAttacks
  ☆15Updated 5 years ago
• Koukyosyumei / Attack_SplitNN
  reveal the vulnerabilities of SplitNN
  ☆30Updated 2 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆63Updated 2 years ago
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆35Updated last year
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆14Updated 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.
  ☆43Updated last year
• yjlee22 / byzantineFL
  PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
  ☆30Updated last year
• git-disl / Fed-CDP
  Gradient-Leakage Resilient Federated Learning
  ☆13Updated 2 years ago
• abogdanova / FL-MIA
  Federated Learning and Membership Inference Attacks experiments on CIFAR10
  ☆18Updated 4 years ago
• epfml / byzantine-robust-optimizer
  Learning from history for Byzantine Robustness
  ☆21Updated 3 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".
  ☆30Updated last year
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆65Updated 2 months ago
• s-huu / Ditto
  ☆54Updated 3 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆54Updated 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…
  ☆13Updated 4 years ago
• FumiyukiKato / FL-attacks-papers
  A list of papers using/about Federated Learning especially malicious client and attacks.
  ☆12Updated 4 years ago
• vrt1shjwlkr / NDSS21-Model-Poisoning
  Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
  ☆134Updated 2 years ago
• XinyiYS / CollaborativeFairFederatedLearning
  Official implementation of our work "Collaborative Fairness in Federated Learning."
  ☆48Updated 3 months ago
• SliencerX / Learning-to-Attack-Federated-Learning
  ☆14Updated last year
• DeRafael / CAFE
  ☆21Updated 2 years ago
• jinghuichen / Focused-Flip-Federated-Backdoor-Attack
  Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning
  ☆30Updated last year
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆43Updated last year
• SamuelHorvath / FL-optimal-client-sampling
  ☆26Updated last year
• zechenghe / Inverse_Collaborative_Inference
  ☆38Updated 3 years ago