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github.com/G3H4N/GAN-Trained-Model-Detection-and-Attribution
/ types & classes
Types & classes
307 in github.com/G3H4N/GAN-Trained-Model-Detection-and-Attribution
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Functions
2,927
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Types & classes
307
↓ 37 callers
Class
CBR2D
Attacks/layer.py:15
↓ 22 callers
Class
DECBR2D
Attacks/layer.py:32
↓ 9 callers
Class
Inception
models/structures/googlenet.py:7
↓ 5 callers
Class
DenseNet
models/structures/densenet.py:36
↓ 5 callers
Class
PreActResNet
models/structures/preact_resnet.py:65
↓ 5 callers
Class
ResNet
models/structures/resnet.py:73
↓ 5 callers
Class
Timer
A timer as a context manager. Modified from https://github.com/brouberol/contexttimer/blob/master/contexttimer/__init__.py. Wraps around a t
GANs/pylib/timer.py:9
↓ 4 callers
Class
ResNeXt
models/structures/resnext.py:40
↓ 4 callers
Class
SepConv
Separable Convolution.
models/structures/pnasnet.py:10
↓ 3 callers
Class
ReLU
Attacks/layer.py:4
↓ 3 callers
Class
RegNet
models/structures/regnet.py:68
↓ 3 callers
Class
Transition
models/structures/densenet.py:24
↓ 3 callers
Class
attacker_siamese1
models/Compare/networks.py:6
↓ 2 callers
Class
DCGAN_R_simple_fc
Attacks/model.py:6
↓ 2 callers
Class
DPN
models/structures/dpn.py:38
↓ 2 callers
Class
PNASNet
models/structures/pnasnet.py:71
↓ 2 callers
Class
ReLU
GANs/torchlib/layers/layers.py:46
↓ 2 callers
Class
ReLU
models/GAN_layers.py:46
↓ 2 callers
Class
ShuffleBlock
models/structures/shufflenetv2.py:10
↓ 2 callers
Class
ShuffleNet
models/structures/shufflenet.py:51
↓ 2 callers
Class
SiameseTensorDataset
Train: For each sample creates randomly a positive or a negative pair Test: Creates fixed pairs for testing
models/Compare/dataset.py:9
↓ 2 callers
Class
VGG
models/structures/vgg.py:14
↓ 1 callers
Class
AlexNet
models/structures/alexnet.py:9
↓ 1 callers
Class
BasicBlock
models/structures/shufflenetv2.py:32
↓ 1 callers
Class
Block
Grouped convolution block.
models/structures/resnext.py:10
↓ 1 callers
Class
Block
Depthwise conv + Pointwise conv
models/structures/mobilenet.py:11
↓ 1 callers
Class
Block
expansion + depthwise + pointwise + squeeze-excitation
models/structures/efficientnet.py:43
↓ 1 callers
Class
Block
expand + depthwise + pointwise
models/structures/mobilenetv2.py:11
↓ 1 callers
Class
Block
models/structures/regnet.py:28
↓ 1 callers
Class
Bottleneck
models/structures/dpn.py:7
↓ 1 callers
Class
Bottleneck
models/structures/shufflenet.py:22
↓ 1 callers
Class
ContrastiveLoss
Contrastive loss Takes embeddings of two samples and a target label == 1 if samples are from the same class and label == 0 otherwise
models/Compare/losses.py:6
↓ 1 callers
Class
DataPoisoningAttack
label-consistent-backdoor-code-main/poison_attack.py:7
↓ 1 callers
Class
DataPoisoningAttack
label-consistent-backdoor-code-main/poison_attack_multiclasses.py:7
↓ 1 callers
Class
DownBlock
models/structures/shufflenetv2.py:58
↓ 1 callers
Class
EfficientNet
models/structures/efficientnet.py:107
↓ 1 callers
Class
GoogLeNet
models/structures/googlenet.py:56
↓ 1 callers
Class
LeNet
models/structures/lenet.py:6
↓ 1 callers
Class
Logger
models/CIFAR10_real_GANship_classifier_train_sepVGG.py:52
↓ 1 callers
Class
Logger
models/SVHN_real_GANship_trainsets_compare.py:105
↓ 1 callers
Class
Logger
models/CelebA_real_GANStrctr_testsets.py:94
↓ 1 callers
Class
Logger
models/CelebA_Noise_GANship_testsets.py:94
↓ 1 callers
Class
Logger
models/Combine_real_GANStrctr_trainsets_SVHN.py:95
↓ 1 callers
Class
Logger
models/FMNIST_real_GANship_testsets.py:95
↓ 1 callers
Class
Logger
models/Combine_real_GANStrctr_testsetsTGAN_CelebA.py:95
↓ 1 callers
Class
Logger
models/FMNIST_MNIST_GANStrctr_testsetsTGAN.py:95
↓ 1 callers
Class
Logger
models/SVHN_fake_GANship_Binary_classifier_train1.py:65
↓ 1 callers
Class
Logger
models/CIFAR10_real_GANStrctr_trainsets_CelebA.py:95
↓ 1 callers
Class
Logger
models/posterio_GANship_trainsets_together_binaryclassify_multimge.py:94
↓ 1 callers
Class
Logger
models/posterio_GANship_testsets_real_multiclass_byMstr.py:94
↓ 1 callers
Class
Logger
models/CIFAR10_Noise_GANship_testsets.py:95
↓ 1 callers
Class
Logger
models/SVHN_other_GANship_testsets.py:95
↓ 1 callers
Class
Logger
models/CelebA_fake_GANship_Binary_trainsets_noVGG.py:95
↓ 1 callers
Class
Logger
models/SVHN_real_GANship_classifier_train.py:65
↓ 1 callers
Class
Logger
models/CelebA_real_FakeORReal_classifier_train.py:53
↓ 1 callers
Class
Logger
models/CelebA_Noise_GANship_trainsets.py:94
↓ 1 callers
Class
Logger
models/FMNIST_Noise_GANStrctr_testsets.py:94
↓ 1 callers
Class
Logger
models/CIFAR10_model_train_multi_fake_by_backdooring_GAN_singleclass.py:95
↓ 1 callers
Class
Logger
models/train.py:18
↓ 1 callers
Class
Logger
models/Combine_real_GANStrctr_trainsets_CelebA.py:95
↓ 1 callers
Class
Logger
models/SVHN_other_GANship_classifier_train.py:52
↓ 1 callers
Class
Logger
models/classifier_train_multiclass_multiGAN.py:52
↓ 1 callers
Class
Logger
models/CIFAR10_model_train_multi_fake_by_backddoring_GAN.py:95
↓ 1 callers
Class
Logger
models/posterio_GANship_testsetsTGAN_together_binaryclassify_multimge_byMstr.py:94
↓ 1 callers
Class
Logger
models/Combine_real_GANStrctr_testsets_CelebA.py:95
↓ 1 callers
Class
Logger
models/CelebA_FFHQ_GANStrctr_trainsets.py:94
↓ 1 callers
Class
Logger
models/FMNIST_real_FakeORReal_testsets.py:95
↓ 1 callers
Class
Logger
models/FMNIST_MNIST_GANStrctr_testsets.py:95
↓ 1 callers
Class
Logger
models/classifier_train_together_multiclass.py:102
↓ 1 callers
Class
Logger
models/SVHN_MNIST_GANStrctr_trainsets.py:95
↓ 1 callers
Class
Logger
models/FMNIST_fake_GANship_Binary_testsets.py:96
↓ 1 callers
Class
Logger
models/CIFAR10_real_GANship_trainsets_noVGG.py:95
↓ 1 callers
Class
Logger
models/CelebA_Noise_GANStrctr_trainsets.py:94
↓ 1 callers
Class
Logger
models/CelebA_real_GANStrctr_classifier_train_sepVGG.py:52
↓ 1 callers
Class
Logger
models/Combine_Noise_GANStrctr_classifier_train.py:52
↓ 1 callers
Class
Logger
models/CIFAR10_TinyImagenet_GANship_classifier_train.py:53
↓ 1 callers
Class
Logger
models/SVHN_Noise_GANStrctr_trainsets.py:94
↓ 1 callers
Class
Logger
models/CIFAR10_real_GANStrctr_testsets_FM.py:95
↓ 1 callers
Class
Logger
models/CelebA_other_GANship_classifier_train.py:51
↓ 1 callers
Class
Logger
models/CelebA_FFHQ_GANStrctr_testsets.py:94
↓ 1 callers
Class
Logger
models/FMNIST_real_GANship_trainsets_compare.py:95
↓ 1 callers
Class
Logger
models/CelebA_Noise_GANStrctr_classifier_train.py:52
↓ 1 callers
Class
Logger
models/SVHN_real_GANship_classifier_train_labelonly.py:58
↓ 1 callers
Class
Logger
models/Noise_GANship_GANStrctr_trainsets.py:93
↓ 1 callers
Class
Logger
models/posterio_GANship_trainsets_together_binaryclassify_multimge_byMstr.py:94
↓ 1 callers
Class
Logger
models/FMNIST_real_GANStrctr_testsets.py:95
↓ 1 callers
Class
Logger
models/SVHN_Noise_GANship_trainsets.py:95
↓ 1 callers
Class
Logger
models/SVHN_MNIST_GANStrctr_classifier_train.py:52
↓ 1 callers
Class
Logger
models/CelebA_real_GANship_testsets_onlyVGG.py:94
↓ 1 callers
Class
Logger
models/posterio_GANship_trainsets_together.py:94
↓ 1 callers
Class
Logger
models/SVHN_fake_GANship_Binary_classifier_train2.py:65
↓ 1 callers
Class
Logger
models/posterio_GANship_datasets.py:99
↓ 1 callers
Class
Logger
models/CelebA_fake_GANship_Binary_trainsets.py:95
↓ 1 callers
Class
Logger
models/CelebA_real_GANStrctr_classifier_train.py:52
↓ 1 callers
Class
Logger
models/CIFAR10_TinyImagenet_GANship_testsets.py:95
↓ 1 callers
Class
Logger
models/CelebA_real_GANship_testsets.py:94
↓ 1 callers
Class
Logger
models/classifier_train_binaryclassify_multimage_byGANstr.py:52
↓ 1 callers
Class
Logger
models/SVHN_real_FakeORReal_trainsets.py:105
↓ 1 callers
Class
Logger
models/SVHN_model_train_multi_test.py:95
↓ 1 callers
Class
Logger
models/CelebA_other_GANship_trainsets.py:95
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