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MarginFinger

Implementation of the papaer titled "MarginFinger: Controlling Generated Fingerprint Distance to Classification boundary Using Conditional GANs"

Framework

Run the Code

0. Requirements

The package using in this project was listed in requirements.txt

1. Prepare the datasets and models

#####CIFAR-10 please download the datasets in the folder "data/cifar10" and models in the "model/cifar10" from https://drive.google.com/drive/folders/1idozSeUa9fHQBdPwMGWmQ7GhZuD3Rtpc?usp=sharing

#####Tiny-ImageNet please download the datasets in the folder "data/tiny_imagenet" from

2. Generate the query set

CUDA_VISIBLE_DEVICES=0 python configs/tiny_imagenet/conditional.yaml --devices 0 --d=0.1 --alpha=0.1 --beta=0 --gamma=1 --omega=5

3. verify the query set

cd evaluation
CUDA_VISIBLE_DEVICES=0 python auc_matching_rate.py

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