MCPcopy Create free account

hub / github.com/G3H4N/GAN-Trained-Model-Detection-and-Attribution / functions

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

↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_Noise_GANStrctr_testsets.py:113
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/FMNIST_MNIST_GANStrctr_trainsets.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/FMNIST_real_GANship_testsets_compare.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/Noise_GANStrctr_testsets.py:113
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_real_GANship_trainsets_labelonly.py:117
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/FMNIST_Noise_GANStrctr_trainsets.py:113
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_FFHQ_GANship_trainsets.py:113
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_Noise_GANStrctr_testsets.py:113
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_real_GANship_testsets_onlyVGG.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_GANStrctr_trainsets.py:113
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_backdoor_real_GANship_testsets.py:83
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_real_GANStrctr_trainsets_SVHN.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/Combine_real_GANStrctr_testsetsTGAN_FM.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_backdoor_real_GANship_trainsets.py:83
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_real_FakeORReal_testsets.py:124
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_GANStrctr_trainsets_noVGG.py:113
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_Noise_GANship_trainsets.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_fake_GANship_Binary_trainsets.py:125
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_MNIST_GANship_testsets.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_real_GANship_trainsets.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/Combine_real_GANStrctr_trainsets_FM.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_real_GANship_testsets_labelonly.py:117
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_GANship_trainsets.py:113
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_real_GANship_testsets.py:124
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/FMNIST_Noise_GANship_trainsets.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/posterio_GANship_trainsets_real_multiclass.py:113
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_FFHQ_GANship_testsets.py:113
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/GANStrctr_testsets_real_multiclass.py:113
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_real_GANStrctr_testsetsTGAN_FM.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/Noise_GANStrctr_testsetsTGAN.py:113
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_fake_GANship_Binary_testsets.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_real_GANStrctr_testsets_CelebA.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_real_GANship_testsets.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_GANship_trainsets_noVGG.py:113
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_Noise_GANship_testsets.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_MNIST_GANship_trainsets.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_real_GANStrctr_testsets.py:124
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/posterio_GANship_testsets_together_binaryclassify_multimge.py:113
↓ 3 callersFunctionsaveData
(dir, filename, obj)
models/FMNIST_Noise_GANship_testsets.py:114
↓ 3 callersFunctionsaveData
(dir, filename, obj)
data_processing/CIFAR10_trainset_devide.py:15
↓ 3 callersFunctionsaveData
(dir, filename, obj)
data_processing/CelebA_data_divide_sets.py:14
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CIFAR10_real_GANship_classifier_train_sepVGG.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/SVHN_fake_GANship_Binary_classifier_train1.py:113
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/SVHN_real_GANship_classifier_train.py:113
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CelebA_real_FakeORReal_classifier_train.py:101
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CIFAR10_model_train_multi_fake_by_backdooring_GAN_singleclass.py:143
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/SVHN_other_GANship_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/classifier_train_multiclass_multiGAN.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CIFAR10_model_train_multi_fake_by_backddoring_GAN.py:143
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CelebA_real_GANStrctr_classifier_train_sepVGG.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/Combine_Noise_GANStrctr_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CIFAR10_TinyImagenet_GANship_classifier_train.py:101
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CelebA_other_GANship_classifier_train.py:99
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CelebA_Noise_GANStrctr_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/SVHN_real_GANship_classifier_train_labelonly.py:106
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/SVHN_MNIST_GANStrctr_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/SVHN_fake_GANship_Binary_classifier_train2.py:113
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CelebA_real_GANStrctr_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/classifier_train_binaryclassify_multimage_byGANstr.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/classifier_train_real_multi_GANStrctr_byMstr.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/classifier_train_real_multi_GANStrctr.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/FMNIST_real_FakeORReal_classifier_train.py:101
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/Combine_real_GANStrctr_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/SVHN_real_FakeORReal_classifier_train.py:113
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/classifier_train_binaryclassify_multimage_byMstr.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/Combine_SVHN_real_GANStrctr_classifier_train_CelebA_only.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/SVHN_real_GANStrctr_classifier_train.py:112
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/FMNIST_SVHN_GANship_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CIFAR10_model_train_multi_fake_by_pretrained_GAN.py:142
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/FMNIST_real_GANStrctr_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/FMNIST_MNIST_GANStrctr_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CelebA_real_GANship_classifier_train_sepVGG.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/SVHN_fake_GANship_Binary_classifier_train.py:113
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CIFAR10_real_GANship_classifier_train2.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CelebA_real_FakeORReal_classifier_train_sepVGG.py:101
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/FMNIST_real_GANship_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/model_train_multi_real_half.py:141
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/SVHN_real_FakeORReal_classifier_train1.py:113
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CelebA_Noise_GANship_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/Noise_GANStrctr_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CelebA_FFHQ_GANStrctr_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/Noise_GANship_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CIFAR10_backdoor_real_GANship_classifier_train.py.py:102
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/SVHN_model_train_multi.py:144
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/SVHN_Noise_GANStrctr_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/FMNIST_Noise_GANship_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/classifier_train_together_binaryclassify_multimage.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/Combine_CIFAR10_real_GANStrctr_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/SVHN_Noise_GANship_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/FMNIST_Noise_GANStrctr_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/FMNIST_fake_GANship_Binary_classifier_train.py:101
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CelebA_fake_GANship_Binary_classifier_train.py:101
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/FMNIST_model_train_multi.py:142
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CelebA_fake_GANship_Binary_classifier_train_sepVGG.py:101
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CelebA_FFHQ_GANship_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CelebA_real_GANship_classifier_train.py:100
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/SVHN_model_train_multi_temp.py:144
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CIFAR10_model_train_multi_HALF_by_pretrained_GAN.py:142
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/model_train_multi_real_half_FM.py:141
↓ 3 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CIFAR10_Noise_GANship_classifier_train.py:101
← previousnext →401–500 of 2,927, ranked by callers