Alternatives and similar repositories for PrivateFL

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

• ybdai7 / Backdoor-indicator-defense
  [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…
  ☆36Updated 8 months ago
• zaixizhang / FLDetector
  The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…
  ☆83Updated 2 years ago
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆48Updated last year
• wanglun1996 / secure-robust-federated-learning
  ☆55Updated 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
• 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
• yjlee22 / byzantineFL
  PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
  ☆32Updated 7 months ago
• zhmzm / FLAME
  ☆30Updated 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
• zhmzm / FLTrust_pytorch
  ☆38Updated last year
• ksreenivasan / OOD_Federated_Learning
  ☆69Updated 2 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆56Updated 2 years ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆64Updated 3 years ago
• FuChong-cyber / label-inference-attacks
  Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.
  ☆83Updated last year
• haoyangliASTAPLE / 3DFed
  ☆53Updated last year
• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆37Updated 4 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
• 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
• ehsanul9511 / FLShield
  ☆15Updated last year
• JiyaSu / ourFLTrust
  reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"
  ☆29Updated 2 years ago
• SamuelGong / Lotto
  [USENIX Security'24] Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning
  ☆19Updated last month
• chamikara1986 / LDPFL
  Local Differential Privacy for Federated Learning
  ☆16Updated 2 years ago
• ZhangIvan1 / Efficient-Privacy-Preserving-Federated-Learning-With-Improved-Compressed-Sensing
  The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"
  ☆22Updated last year
• HaFaZhang / A3FL
  ☆27Updated last year
• YuchenLiu-a / byzantine-gas
  Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".
  ☆14Updated last year
• avdvg / VFL-Survey
  ☆35Updated 3 years ago
• xtLyu / CerP
  ☆14Updated 11 months ago
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆18Updated 4 years ago
• vrt1shjwlkr / NDSS21-Model-Poisoning
  Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
  ☆144Updated 2 years ago
• git-disl / CPL_attack
  ☆37Updated 3 years ago