Alternatives and similar repositories for Membership-Inference-Attack-in-Federated-Learning

Users that are interested in Membership-Inference-Attack-in-Federated-Learning are comparing it to the libraries listed below

• abogdanova / FL-MIA
  Federated Learning and Membership Inference Attacks experiments on CIFAR10
  ☆22Updated 5 years ago
• MIA-FL / SP22
  Membership Inference Attack on Federated Learning
  ☆12Updated 3 years ago
• HongshengHu / source-inference-FL
  ☆13Updated 3 years ago
• ehsanul9511 / FLShield
  ☆15Updated last year
• 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
• najeebjebreel / FL-Defender
  FL-Defender: Combating Targeted Attacks in Federated Learning
  ☆1Updated 2 years ago
• chamikara1986 / LDPFL
  Local Differential Privacy for Federated Learning
  ☆16Updated 2 years 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
• git-disl / CPL_attack
  ☆37Updated 3 years ago
• siquanhuang / Multi-metrics
  Multi-metrics adaptively identifies backdoors in Federated learning
  ☆26Updated last year
• Guncuke / flame-Taming-backdoor
  ☆22Updated 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
• 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
• 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
• JiyaSu / ourFLTrust
  reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"
  ☆29Updated 2 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.
  ☆44Updated last year
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆65Updated 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
• xinjianluo / featureinference-vfl
  ☆25Updated 3 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
• pasquini-dario / EludingSecureAggregation
  Eluding Secure Aggregation in Federated Learning via Model Inconsistency
  ☆12Updated 2 years ago
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆17Updated 2 years ago
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆18Updated 4 years ago
• yjlee22 / byzantineFL
  PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
  ☆32Updated 7 months ago
• xtLyu / CerP
  ☆14Updated 11 months ago
• ksreenivasan / OOD_Federated_Learning
  ☆69Updated 2 years ago
• zhmzm / FLAME
  ☆30Updated last year
• SliencerX / Learning-to-Attack-Federated-Learning
  ☆19Updated 2 years 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