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

⨍ Functions 2,927◇ Types & classes 307
↓ 4 callersMethod_make_layer
(self, block, planes, num_blocks, stride)
models/structures/resnet.py:88
↓ 4 callersMethod_make_layer
(self, idx)
models/structures/regnet.py:82
↓ 4 callersFunctionloadData
(filename)
models/SVHN_MNIST_GANStrctr_classifier_train.py:64
↓ 4 callersFunctionloadData
(filename)
models/classifier_train_binaryclassify_multimage_byGANstr.py:64
↓ 4 callersFunctionloadData
(filename)
models/model_train_multi.py:105
↓ 4 callersFunctionloadData
(filename)
models/classifier_train_binaryclassify_multimage_byMstr.py:64
↓ 4 callersFunctionloadData
(filename)
models/CIFAR10_model_train_specified_HALF.py:106
↓ 4 callersFunctionloadData
(filename)
models/FMNIST_MNIST_GANStrctr_classifier_train.py:64
↓ 4 callersFunctionloadData
(filename)
models/Compare/utils.py:20
↓ 4 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CIFAR10_model_train_specified.py:129
↓ 4 callersMethodpoison_from_indices
(self, images, labels, indices_to_poison, *, poisoned_data_source=None, apply_trigger=True)
label-consistent-backdoor-code-main/poison_attack.py:111
↓ 4 callersFunctionsaveData
(dir, filename, obj)
models/FMNIST_MNIST_GANStrctr_testsetsTGAN.py:114
↓ 4 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_GANStrctr_testsetsTGAN_onlyVGG.py:113
↓ 4 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_GANStrctr_testsetsTGAN.py:113
↓ 4 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_Noise_GANStrctr_testsetsTGAN.py:113
↓ 4 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_FFHQ_GANStrctr_testsetsTGAN.py:113
↓ 4 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_Noise_GANStrctr_testsetsTGAN.py:113
↓ 4 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_MNIST_GANStrctr_testsetsTGAN.py:114
↓ 4 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_real_GANStrctr_testsetsTGAN.py:124
↓ 4 callersFunctionsaveData
(dir, filename, obj)
models/FMNIST_real_GANStrctr_testsetsTGAN.py:114
↓ 4 callersFunctionsaveData
(dir, filename, obj)
models/FMNIST_Noise_GANStrctr_testsetsTGAN.py:113
↓ 4 callersFunctionsaveData
(dir, filename, obj)
data_processing/SVHN_data_divide_MIA.py:15
↓ 4 callersFunctionsplit
(path)
GANs/pylib/path.py:26
↓ 4 callersFunctionswish
(x)
models/structures/efficientnet.py:12
↓ 4 callersFunctiontest
(net, i_index, t_index, test_loader)
models/classifier_train_real_multi_GANStrctr_byMstr.py:394
↓ 4 callersFunctiontest
(net, i_index, t_index, test_loader)
models/classifier_train_real_multi_GANStrctr.py:394
↓ 4 callersFunctiontest
(net, test_loader)
models/Noise_GANStrctr_classifier_train.py:394
↓ 4 callersFunctiontest
(net, test_loader)
models/CelebA_FFHQ_GANStrctr_classifier_train.py:394
↓ 4 callersFunctiontest_binary
(net, i_index, t_index, test_loader)
models/FMNIST_fake_GANship_Binary_classifier_train.py:248
↓ 3 callersFunctionDenormalize
(data)
models/classifier_train_binaryclassify_multimage_byGANstr.py:130
↓ 3 callersFunctionDenormalize
(data)
models/classifier_train_binaryclassify_multimage_byMstr.py:130
↓ 3 callersFunctionDenormalize
(data)
models/classifier_train_together_binaryclassify_multimage.py:130
↓ 3 callersFunctionGenerateDataSet
(gan_path, z_dim, c_dim, dataset_size_perclass, dataset_path)
models/CIFAR10_model_train_specified.py:175
↓ 3 callersFunctionGenerateDataSet
(gan_path, z_dim, c_dim, dataset_size_perclass, dataset_path)
models/posterio_GANship_datasets.py:180
↓ 3 callersFunctionGenerateDataSet
(gan_path, z_dim, c_dim, dataset_size_perclass, dataset_path)
models/model_train_multi.py:174
↓ 3 callersFunctionGenerateDataSet
(gan_path, z_dim, c_dim, dataset_size_perclass, dataset_path)
models/CIFAR10_model_train_specified_HALF.py:175
↓ 3 callersFunctionGenerateDataSet
(gan_path, z_dim, c_dim, dataset_size_perclass, dataset_path)
models/SVHN_model_train_multi.py:177
↓ 3 callersFunctionGenerateDataSet
(gan_path, z_dim, c_dim, dataset_size_perclass, dataset_path)
models/FMNIST_model_train_multi.py:175
↓ 3 callersFunctionGenerateDataSet
(gan_path, z_dim, c_dim, dataset_size_perclass, dataset_path)
models/model_train_specified.py:175
↓ 3 callersFunctionGenerateDataSet
(gan_path, z_dim, c_dim, dataset_size_perclass, dataset_path)
models/SVHN_model_train_multi_temp.py:177
↓ 3 callersMethod__init__
(self, relu)
Attacks/layer.py:5
↓ 3 callersMethod__init__
(self, margin)
models/Compare/losses.py:30
↓ 3 callersMethod__init__
(self, in_planes, out_planes, stride=1)
models/structures/pnasnet.py:25
↓ 3 callersMethod_make_layer
(self, num_blocks, stride)
models/structures/resnext.py:55
↓ 3 callersMethod_make_layer
(self, planes, num_cells)
models/structures/pnasnet.py:88
↓ 3 callersMethod_make_layer
(self, out_channels, num_blocks)
models/structures/shufflenetv2.py:114
↓ 3 callersMethod_make_layer
(self, out_planes, num_blocks, groups)
models/structures/shufflenet.py:66
↓ 3 callersMethodembedding_
(self, x)
models/structures/lenet.py:138
↓ 3 callersFunctionloadData
(filename)
Attacks/train_inter_fc.py:17
↓ 3 callersFunctionloadData
(filename)
Attacks/train_fc.py:17
↓ 3 callersFunctionloadData
(filename)
models/CIFAR10_real_GANship_classifier_train_sepVGG.py:64
↓ 3 callersFunctionloadData
(filename)
models/CIFAR10_model_train_specified.py:106
↓ 3 callersFunctionloadData
(filename)
models/Combine_real_GANStrctr_trainsets_SVHN.py:107
↓ 3 callersFunctionloadData
(filename)
models/Combine_real_GANStrctr_testsetsTGAN_CelebA.py:107
↓ 3 callersFunctionloadData
(filename)
models/FMNIST_MNIST_GANStrctr_testsetsTGAN.py:107
↓ 3 callersFunctionloadData
(filename)
models/CelebA_fake_GANship_Binary_trainsets_noVGG.py:107
↓ 3 callersFunctionloadData
(filename)
models/Combine_real_GANStrctr_trainsets_CelebA.py:107
↓ 3 callersFunctionloadData
(filename)
models/Combine_real_GANStrctr_testsets_CelebA.py:107
↓ 3 callersFunctionloadData
(filename)
models/CelebA_real_GANStrctr_classifier_train_sepVGG.py:64
↓ 3 callersFunctionloadData
(filename)
models/CelebA_fake_GANship_Binary_trainsets.py:107
↓ 3 callersFunctionloadData
(filename)
models/CelebA_real_GANStrctr_classifier_train.py:64
↓ 3 callersFunctionloadData
(filename)
models/classifier_train_real_multi_GANStrctr_byMstr.py:64
↓ 3 callersFunctionloadData
(filename)
models/classifier_train_real_multi_GANStrctr.py:64
↓ 3 callersFunctionloadData
(filename)
models/Combine_real_GANStrctr_testsets_FM.py:107
↓ 3 callersFunctionloadData
(filename)
models/SVHN_real_GANStrctr_classifier_train.py:76
↓ 3 callersFunctionloadData
(filename)
models/CelebA_real_GANStrctr_testsetsTGAN_onlyVGG.py:106
↓ 3 callersFunctionloadData
(filename)
models/FMNIST_real_GANStrctr_classifier_train.py:64
↓ 3 callersFunctionloadData
(filename)
models/CelebA_real_GANStrctr_testsetsTGAN.py:106
↓ 3 callersFunctionloadData
(filename)
models/CIFAR10_real_GANship_classifier_train2.py:64
↓ 3 callersFunctionloadData
(filename)
models/SVHN_Noise_GANStrctr_testsetsTGAN.py:106
↓ 3 callersFunctionloadData
(filename)
models/Noise_GANStrctr_classifier_train.py:64
↓ 3 callersFunctionloadData
(filename)
models/CelebA_fake_GANship_Binary_testsets_onlyVGG.py:107
↓ 3 callersFunctionloadData
(filename)
models/CelebA_FFHQ_GANStrctr_classifier_train.py:64
↓ 3 callersFunctionloadData
(filename)
models/SVHN_model_train_multi.py:108
↓ 3 callersFunctionloadData
(filename)
models/CelebA_Noise_GANStrctr_testsetsTGAN.py:106
↓ 3 callersFunctionloadData
(filename)
models/SVHN_MNIST_GANStrctr_testsetsTGAN.py:107
↓ 3 callersFunctionloadData
(filename)
models/classifier_train_together_binaryclassify_multimage.py:64
↓ 3 callersFunctionloadData
(filename)
models/FMNIST_fake_GANship_Binary_classifier_train.py:65
↓ 3 callersFunctionloadData
(filename)
models/FMNIST_model_train_multi.py:106
↓ 3 callersFunctionloadData
(filename)
models/SVHN_real_GANStrctr_testsetsTGAN.py:117
↓ 3 callersFunctionloadData
(filename)
models/Combine_real_GANStrctr_testsetsTGAN_FM.py:107
↓ 3 callersFunctionloadData
(filename)
models/model_train_specified.py:106
↓ 3 callersFunctionloadData
(filename)
models/SVHN_model_train_multi_temp.py:108
↓ 3 callersFunctionloadData
(filename)
models/Combine_real_GANStrctr_trainsets_FM.py:107
↓ 3 callersFunctionloadData
(filename)
models/FMNIST_real_GANStrctr_testsetsTGAN.py:107
↓ 3 callersFunctionloadData
(filename)
models/CelebA_fake_GANship_Binary_testsets.py:107
↓ 3 callersFunctionloadData
(filename)
models/FMNIST_Noise_GANStrctr_testsetsTGAN.py:106
↓ 3 callersFunctionloadData
(filename)
data_processing/CelebA_data_divide_sets_to_sets.py:32
↓ 3 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CIFAR10_real_GANship_classifier_train_sepVGG.py:87
↓ 3 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CelebA_real_GANStrctr_testsets.py:129
↓ 3 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CelebA_Noise_GANship_testsets.py:129
↓ 3 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/Combine_real_GANStrctr_trainsets_SVHN.py:130
↓ 3 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/FMNIST_real_GANship_testsets.py:130
↓ 3 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/Combine_real_GANStrctr_testsetsTGAN_CelebA.py:130
↓ 3 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/FMNIST_MNIST_GANStrctr_testsetsTGAN.py:130
↓ 3 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CIFAR10_real_GANStrctr_trainsets_CelebA.py:130
↓ 3 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/posterio_GANship_trainsets_together_binaryclassify_multimge.py:129
↓ 3 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/posterio_GANship_testsets_real_multiclass_byMstr.py:129
↓ 3 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CIFAR10_Noise_GANship_testsets.py:130
↓ 3 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/SVHN_other_GANship_testsets.py:130
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