Lilyan-code / Deep-Leakage-from-Gradients

Related projects: ⓘ

• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆39Updated 3 years ago
• haoyangliASTAPLE / 3DFed
  ☆36Updated last year
• zhmzm / FLAME
  ☆22Updated 7 months ago
• zhmzm / FLTrust_pytorch
  ☆36Updated 7 months ago
• FuChong-cyber / label-inference-attacks
  Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.
  ☆77Updated 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
• IMoonKeyBoy / The-Right-to-be-Forgotten-in-Federated-Learning-An-Efficient-Realization-with-Rapid-Retraining
  ☆18Updated this week
• 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
• Guncuke / flame-Taming-backdoor
  ☆13Updated 10 months 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.
  ☆43Updated last year
• jinghuichen / Focused-Flip-Federated-Backdoor-Attack
  Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning
  ☆30Updated last year
• ksreenivasan / OOD_Federated_Learning
  ☆63Updated 2 years ago
• xinjianluo / featureinference-vfl
  ☆22Updated 3 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
• 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
• jhcknzzm / Federated-Learning-Backdoor
  ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341
  ☆61Updated last year
• xtLyu / CerP
  ☆10Updated 3 months ago
• wanglun1996 / secure-robust-federated-learning
  ☆50Updated last year
• hfzhang31 / A3FL
  ☆20Updated 11 months 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
• siquanhuang / Multi-metrics
  Multi-metrics adaptively identifies backdoors in Federated learning
  ☆22Updated 9 months 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"
  ☆12Updated 11 months 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
• Jaskiee / GAN-Attack-against-Federated-Deep-Learning
  The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.
  ☆57Updated last year
• anonymized30 / FL-Defender
  ☆14Updated this week
• fushuhao6 / Attack-Resistant-Federated-Learning
  ☆31Updated 4 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…
  ☆31Updated 9 months ago
• BHui97 / PrivateFL
  ☆32Updated last year
• shaneson0 / attacking_federate_learning
  基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型
  ☆60Updated 4 years ago
• pasquini-dario / EludingSecureAggregation
  Eluding Secure Aggregation in Federated Learning via Model Inconsistency
  ☆11Updated last year