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[ICC 2023] Successive Interference Cancellation Based Defense for Trigger Backdoor in Federated Learning

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SICDF

How to get the code

git clone https://github.com/melamaze/SICDF.git

Model Training

Training environments and codes are placed in FL_backdoor_model_training folder.

| -- CIFAR-10

       | -- DesnseNet121

       | -- RegNetY400MF

       | -- ResNet18

| -- GTSRB (ResNet18)

| -- MNIST (ResNet18)

| -- requirements.txt (python package requirement)

Models

file model dataset attack ratio
cifar_densenet_03.pth densenet121 Cifar-10 0.3
cifar_regnet_03.pth regnetY400MF Cifar-10 0.3
cifar_resnet_01.pth resnet18 Cifar-10 0.1
cifar_resnet_02.pth resnet18 Cifar-10 0.2
cifar_resnet_03.pth resnet18 Cifar-10 0.3
clean_cifar.pth resnet18 Cifar-10 0.0
clean_densenet.pth densenet121 Cifar-10 0.0
clean_gtsrb.pth resnet18 GTSRB 0.0
clean_mnist.pth resnet18 MNIST 0.0
clean_regnet.pth regnetY400MF Cifar-10 0.0
gtsrb_resnet_03.pth resnet18 GTSRB 0.3
mnist_resnet_03.pth resnet18 MNIST 0.3

SICDF

Complete version is in this link, and you can use this command to get the code:

git clone https://github.com/melamaze/pytorch-grad-cam.git -b FINAL_CAM

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[ICC 2023] Successive Interference Cancellation Based Defense for Trigger Backdoor in Federated Learning

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