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Functions2,927 in github.com/G3H4N/GAN-Trained-Model-Detection-and-Attribution

⨍ Functions 2,927◇ Types & classes 307
↓ 1 callersFunctionloadData
(filename)
GANs/train_ACGAN.py:93
↓ 1 callersFunctionloadData
(filename)
GANs/train_CGAN_wgan-gp.py:93
↓ 1 callersFunctionloadData
(filename)
models/train.py:35
↓ 1 callersFunctionloadData
(filename)
models/posterio_GANship_testsetsTGAN_together_binaryclassify_multimge_byMstr.py:106
↓ 1 callersFunctionloadData
(filename)
models/CelebA_FFHQ_GANStrctr_trainsets.py:106
↓ 1 callersFunctionloadData
(filename)
models/classifier_train_together_multiclass.py:114
↓ 1 callersFunctionloadData
(filename)
models/CelebA_FFHQ_GANStrctr_testsets.py:106
↓ 1 callersFunctionloadData
(filename)
models/Noise_GANship_GANStrctr_trainsets.py:105
↓ 1 callersFunctionloadData
(filename)
models/posterio_GANship_trainsets_together_binaryclassify_multimge_byMstr.py:106
↓ 1 callersFunctionloadData
(filename)
models/posterio_GANship_trainsets_multiclass_multiGAN.py:107
↓ 1 callersFunctionloadData
(filename)
models/GANStrctr_testsetsTGAN_real_multiclass_byMstr.py:106
↓ 1 callersFunctionloadData
(filename)
models/accuracy_on_fake.py:111
↓ 1 callersFunctionloadData
(filename)
models/posterio_GANship_testsets_multiclass_multiGAN.py:107
↓ 1 callersFunctionloadData
(filename)
models/classifier_train_together.py:114
↓ 1 callersFunctionloadData
(filename)
models/Noise_GANship_GANStrctr_testsetsTGAN.py:105
↓ 1 callersFunctionloadData
(filename)
models/model_test.py:50
↓ 1 callersFunctionloadData
(filename)
models/posterio_GANship_testsets_together_binaryclassify_multimge_byMstr.py:106
↓ 1 callersFunctionloadData
(filename)
models/posterio_GANship_testset_real_multiclass_byMstr.py:106
↓ 1 callersFunctionloadData
(filename)
models/posterio_GANship_trainsets_real_multiclass_byMstr.py:106
↓ 1 callersFunctionloadData
(filename)
models/SVHN_other_GANship_trainsets.py:107
↓ 1 callersFunctionloadData
(filename)
models/CelebA_FFHQ_GANship_trainsets.py:106
↓ 1 callersFunctionloadData
(filename)
models/GANStrctr_trainsets_real_multiclass_byMstr.py:106
↓ 1 callersFunctionloadData
(filename)
models/Noise_GANship_GANStrctr_testsets.py:105
↓ 1 callersFunctionloadData
(filename)
models/CIFAR10_model_train_multi_HALF_by_pretrained_GAN.py:106
↓ 1 callersFunctionloadData
(filename)
models/model_train_multi_real_half_FM.py:105
↓ 1 callersFunctionloadData
(filename)
models/CelebA_FFHQ_GANship_testsets.py:106
↓ 1 callersFunctionloadData
(filename)
models/GANStrctr_testsets_real_multiclass_byMstr.py:106
↓ 1 callersFunctionloadData
(filename)
data_processing/show_t-sne_3D.py:8
↓ 1 callersFunctionloadData
(filename)
data_processing/show_umap.py:8
↓ 1 callersFunctionloadData
(filename)
data_processing/show_t-sne.py:8
↓ 1 callersFunctionloadData
(filename)
data_processing/show_t-sne_boundary.py:8
↓ 1 callersFunctionloadData
(filename)
data_processing/show_t-sne_DNA.py:12
↓ 1 callersFunctionloadData
(filename)
data_processing/CelebA_data_divide_halfTrain.py:28
↓ 1 callersFunctionloadData
(filename)
data_processing/Noise_data_to_sets.py:31
↓ 1 callersFunctionloadData
(filename)
data_processing/show_t-sne_DNA_3D.py:12
↓ 1 callersFunctionloadData
(filename)
data_processing/show_umap_DNA.py:12
↓ 1 callersFunctionload_CIFAR_Labels
(filename)
models/CIFAR10_model_train_specified_HALF_temp.py:17
↓ 1 callersFunctionload_CIFAR_batch
(filename)
models/CIFAR10_model_train_specified_HALF_temp.py:7
↓ 1 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/model_train_multi_real_half.py:128
↓ 1 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/model_train_multi_real_half_FM.py:128
↓ 1 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CIFAR10_model_train_multi_MIA.py:128
↓ 1 callersFunctionmain
()
Attacks/train_inter_fc.py:51
↓ 1 callersFunctionmain
()
Attacks/train_fc.py:51
↓ 1 callersFunctionmain
()
data_processing/CelebA_data_divide_attr.py:30
↓ 1 callersFunctionmodel_load
( dir_chck, netG, optimG=[], epoch=-1)
Attacks/train_inter_fc.py:134
↓ 1 callersFunctionmodel_load
( dir_chck, netG, optimG=[], epoch=-1)
Attacks/train_fc.py:140
↓ 1 callersFunctionmodel_save
(dir_chck, netG, optimG, epoch, auc_target)
Attacks/train_inter_fc.py:123
↓ 1 callersFunctionmodel_save
(dir_chck, netG, optimG, epoch, auc_target)
Attacks/train_fc.py:129
↓ 1 callersFunctionplot_auc
(shadow_auc, target_auc, epoch, num_epoch, save, save_dir, show=False)
Attacks/train_inter_fc.py:26
↓ 1 callersFunctionplot_auc
(shadow_auc, target_auc, epoch, num_epoch, save, save_dir, show=False)
Attacks/train_fc.py:26
↓ 1 callersFunctionplot_decision_boundary
(clf, axes)
data_processing/show_t-sne_boundary_data2_FM.py:313
↓ 1 callersFunctionplot_decision_boundary
(clf, axes)
data_processing/show_t-sne_boundary_data2.py:275
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_real_GANship_classifier_train_sepVGG.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_real_GANship_classifier_train.py:84
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_FakeORReal_classifier_train.py:72
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_model_train_multi_fake_by_backdooring_GAN_singleclass.py:114
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_other_GANship_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/classifier_train_multiclass_multiGAN.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_model_train_multi_fake_by_backddoring_GAN.py:114
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/classifier_train_together_multiclass.py:121
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_GANStrctr_classifier_train_sepVGG.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/Combine_Noise_GANStrctr_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_other_GANship_classifier_train.py:70
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_Noise_GANStrctr_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_real_GANship_classifier_train_labelonly.py:77
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_MNIST_GANStrctr_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_GANStrctr_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/classifier_train_binaryclassify_multimage_byGANstr.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_model_train_multi_test.py:114
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/classifier_train_real_multi_GANStrctr_byMstr.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/classifier_train_real_multi_GANStrctr.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/FMNIST_real_FakeORReal_classifier_train.py:72
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/Combine_real_GANStrctr_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_real_FakeORReal_classifier_train.py:84
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/model_train_multi.py:112
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/classifier_train_binaryclassify_multimage_byMstr.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/accuracy_on_fake.py:118
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/Combine_SVHN_real_GANStrctr_classifier_train_CelebA_only.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_real_GANStrctr_classifier_train.py:83
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_model_train_specified_HALF.py:113
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/FMNIST_SVHN_GANship_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/classifier_train_together.py:121
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_model_train_multi_fake_by_pretrained_GAN.py:113
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/FMNIST_real_GANStrctr_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/FMNIST_MNIST_GANStrctr_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_GANship_classifier_train_sepVGG.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_fake_GANship_Binary_classifier_train.py:84
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_real_GANship_classifier_train2.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_FakeORReal_classifier_train_sepVGG.py:72
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/FMNIST_real_GANship_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_Noise_GANship_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/Noise_GANStrctr_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_FFHQ_GANStrctr_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/Noise_GANship_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_backdoor_real_GANship_classifier_train.py.py:73
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_model_train_multi.py:115
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_Noise_GANStrctr_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/FMNIST_Noise_GANship_classifier_train.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/classifier_train_together_binaryclassify_multimage.py:71
↓ 1 callersFunctionsaveData
(dir, filename, obj)
models/Combine_CIFAR10_real_GANStrctr_classifier_train.py:71
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