Alternatives and similar repositories for EludingSecureAggregation

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

• yiliucs / Secure-aggregation-for-federated-learning
  Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization
  ☆12Updated 4 years ago
• MIA-FL / SP22
  Membership Inference Attack on Federated Learning
  ☆12Updated 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
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆58Updated 2 years ago
• avdvg / VFL-Survey
  ☆35Updated 3 years ago
• BHui97 / PrivateFL
  ☆42Updated 2 years ago
• abogdanova / FL-MIA
  Federated Learning and Membership Inference Attacks experiments on CIFAR10
  ☆22Updated 5 years ago
• Guncuke / flame-Taming-backdoor
  ☆24Updated last year
• ehsanul9511 / FLShield
  ☆16Updated last year
• 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
• wanglun1996 / secure-robust-federated-learning
  ☆54Updated 2 years ago
• ari-dasci / S-DDaBA
  Official repository of the paper "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning".
  ☆12Updated 3 years ago
• ITSEG-MQ / Chain-PPFL
  Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC
  ☆35Updated 5 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
• zaixizhang / FLDetector
  The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…
  ☆84Updated 2 years ago
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆39Updated 4 years ago
• yjlee22 / byzantineFL
  PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
  ☆34Updated 10 months ago
• lsw3130104597 / Backdoor_detection
  Backdoor detection in Federated learning with similarity measurement
  ☆23Updated 3 years ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆67Updated 3 years ago
• JiyaSu / ourFLTrust
  reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"
  ☆30Updated 2 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
• chamikara1986 / LDPFL
  Local Differential Privacy for Federated Learning
  ☆17Updated 2 years ago
• LightSecAgg / MLSys2022_anonymous
  Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"
  ☆23Updated 3 years ago
• 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
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆51Updated 2 years ago
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆18Updated 4 years ago
• zhmzm / FLAME
  ☆32Updated last year
• SliencerX / Learning-to-Attack-Federated-Learning
  ☆21Updated 2 years ago
• 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…
  ☆24Updated 11 months ago
• lishenghui / blades
  ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning
  ☆143Updated 6 months ago