Alternatives and similar repositories for GTSRB-torch

Users that are interested in GTSRB-torch are comparing it to the libraries listed below

• ITSEG-MQ / Adv-attack-and-defense-on-driving-model
  Implementation of the paper "An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models"
  ☆17Updated 5 years ago
• zhangzhao156 / SecFedNIDS
  ☆11Updated 3 years ago
• MMorafah / Sub-FedAvg
  Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
  ☆43Updated 4 years ago
• JiyaSu / ourFLTrust
  reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"
  ☆32Updated 2 years ago
• CSY-tvgo / Adversarial-Traffic-Signs
  Classification, Object Detection, Adversarial Attack of Chinese Traffic Signs // 中式交通标志图片的分类、目标检测、对抗性攻击
  ☆10Updated 5 years ago
• ehsanul9511 / FLShield
  ☆15Updated last year
• Suyi32 / Learning-to-Detect-Malicious-Clients-for-Robust-FL
  ☆19Updated 4 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
• 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
• zhmzm / FLDetector_pytorch
  ☆17Updated last year
• Lilyan-code / Deep-Leakage-from-Gradients
  paper code
  ☆27Updated 5 years ago
• abogdanova / FL-MIA
  Federated Learning and Membership Inference Attacks experiments on CIFAR10
  ☆23Updated 5 years ago
• poojahira / gtsrb-pytorch
  PyTorch implementation of Kaggle GTSRB challenge with 99.8% accuracy
  ☆57Updated 6 years ago
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆20Updated 2 years ago
• inspire-group / ObjectSeeker
  Code for "ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking"
  ☆13Updated 3 years ago
• ari-dasci / S-DDaBA
  Official repository of the paper "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning".
  ☆12Updated 3 years ago
• AminJun / lisa
  LISA Traffic Signs Dataset for Pytorch. For Classification. 32x32 images. I use this to reproduce the Activation Clustering Results.
  ☆21Updated 4 years ago
• eceisik / ece_fl_public
  ☆54Updated 3 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.
  ☆62Updated 2 years ago
• AmanPriyanshu / FedPAQ-MNIST-implemenation
  An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…
  ☆23Updated 4 years ago
• s4nyam / gradcam-yolo
  Paper https://arxiv.org/pdf/2306.06071.pdf Analysing how adversarial attacks aaffect YOLO Object Detection and visualising GradCAM
  ☆22Updated last year
• SliencerX / Learning-to-Attack-Federated-Learning
  ☆24Updated 3 years ago
• CSUN1997 / Non-IID-federated-learning
  Reproduce Paper "Federated Learning with Non-IID Data"
  ☆10Updated 4 years ago
• jeremy313 / FL-WBC
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆43Updated 4 years ago
• fatemehm / Federated-Learning-IDS
  ☆15Updated 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"
  ☆21Updated 2 years ago
• ybdai7 / Backdoor-indicator-defense
  [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…
  ☆47Updated 2 months ago
• Willjay5991 / federatedLearning-DP-my
  联邦学习分布式训练MNist数据集
  ☆62Updated 6 years ago
• yjlee22 / byzantineFL
  PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
  ☆34Updated 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…
  ☆14Updated 5 years ago