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Functions664 in github.com/THUYimingLi/BackdoorBox

Method_initialize_weights
(self)
core/models/vgg_curve.py:42
Method_load_checkpoint
Load all necessary model checkpoints from the checkpoint directory.
core/attacks/BAAT.py:230
Method_load_checkpoint
(self)
core/attacks/BAAT.py:359
Method_load_from_state_dict
(self, state_dict, prefix, metadata, strict, missing_keys, unexpected_keys, erro
core/models/curves.py:238
Function_seed_worker
(worker_id)
core/utils/test.py:16
Function_seed_worker
(worker_id)
core/defenses/FineTuning.py:22
Method_seed_worker
(self, worker_id)
core/defenses/AutoEncoderDefense.py:48
Method_seed_worker
(self, worker_id)
core/defenses/NAD.py:282
Method_seed_worker
Assign seed to workers of dataloader. Make the results reproduceable.
core/defenses/ABL.py:147
Method_seed_worker
(self, worker_id)
core/defenses/REFINE.py:93
Method_seed_worker
(self, worker_id)
core/defenses/CutMix.py:200
Method_seed_worker
(self, worker_id)
core/defenses/MCR.py:274
Method_seed_worker
(self, worker_id)
core/attacks/base.py:95
Methodadd_trigger
(img)
core/attacks/LabelConsistent.py:85
Methodadd_trigger
(self, img, index)
core/attacks/Refool.py:183
Methodadd_trigger
(self, img, index)
core/attacks/Refool.py:232
Methodadd_trigger
(img)
core/attacks/BadNets.py:75
Methodadd_trigger
(img)
core/attacks/AdaptivePatch.py:75
Methodadd_trigger
(img)
core/attacks/Blended.py:74
Functioncheck
(dataset)
core/attacks/base.py:24
Functionclip_deltas
clip delta, to make sure perturbation is bounded by [-eps, eps] and perturbed image is bounded by [0,1]
core/attacks/SleeperAgent.py:151
Methodclip_image
Return the function of clip image.
core/attacks/LIRA.py:441
Methodcreate_cifar
()
core/attacks/LIRA.py:415
Methodcreate_gtsrb
()
core/attacks/LIRA.py:419
Methodcreate_mnist
()
core/attacks/LIRA.py:411
Methoddefault_loader
(self, img)
core/attacks/TUAP.py:535
Methoddetect
(self, dataset)
core/defenses/IBD_PSC.py:199
Methoddetect
(self, dataset)
core/defenses/SCALE_UP.py:168
Methodedit_image
( self, input_path: Union[str, Path], output_dir: Union[str, Path], attribute_
core/attacks/BAAT.py:295
Methodedit_image
( self, input_path: Union[str, Path], output_dir: Union[str, Path], attribute_
core/attacks/BAAT.py:392
Methodexport_base_parameters
(self, base_model, index)
core/models/curves.py:291
Methodextra_repr
(self)
core/models/curves.py:234
Methodfind_first_large_drop
Starting from a given node, traverse downward through the condensed tree to find the first cluster where the
core/defenses/FLARE.py:260
Methodfind_min_norm_element_FW
Given a list of vectors (vecs), this method finds the minimum norm element in the convex hull as min |u|_2 st. u = \sum c_i v
core/attacks/Blind.py:329
Methodforward
Compute loss for model. If both `labels` and `mask` are None, it degenerates to SimCLR unsupervised loss: https://arxiv.org/pdf/2002.0
core/utils/supconloss.py:21
Methodforward
r""" Overridden.
core/utils/torchattacks/attacks/pgd.py:38
Methodforward
(self, fm_s, fm_t)
core/defenses/NAD.py:41
Methodforward
(self, input)
core/defenses/Pruning.py:23
Methodforward
(self, logits, targets)
core/defenses/ABL.py:48
Methodforward
(self, x)
core/defenses/FLARE.py:42
Methodforward
(self, x, latent=None)
core/attacks/Blind.py:42
Methodforward
Add trigger to image. if batch==False, add trigger to single image of shape (C,H,W) else , add trigger to a batch of images of shape (
core/attacks/Blind.py:416
Methodforward
Setup padding so same spatial dimensions are returned All shapes (input/output) are ``(N, C, W, H)`` convention :param torch.Tensor
core/attacks/ISSBA.py:145
Methodforward
(self, inputs)
core/attacks/ISSBA.py:200
Methodforward
(self, image)
core/attacks/ISSBA.py:287
Methodforward
(self, image)
core/attacks/ISSBA.py:324
Methodforward
(self, inputs)
core/attacks/ISSBA.py:369
Methodforward
(self, image)
core/attacks/ISSBA.py:448
Methodforward
(self, image)
core/attacks/ISSBA.py:485
Methodforward
(self, x)
core/attacks/ISSBA.py:519
Methodforward
(self, x)
core/attacks/ISSBA.py:545
Methodforward
(self, x)
core/attacks/LIRA.py:35
Methodforward
(self, x)
core/attacks/LIRA.py:52
Methodforward
(self, x)
core/attacks/LIRA.py:76
Methodforward
(self, x)
core/attacks/LIRA.py:152
Methodforward
(self, x)
core/attacks/LIRA.py:191
Methodforward
(self, x)
core/attacks/LIRA.py:255
Methodforward
(self, x)
core/attacks/LIRA.py:273
Methodforward
(self, x)
core/attacks/LIRA.py:299
Methodforward
(self, x)
core/attacks/IAD.py:117
Methodforward
(self, x)
core/attacks/IAD.py:131
Methodforward
(self, x)
core/attacks/IAD.py:145
Methodforward
(self, x)
core/attacks/IAD.py:227
Methodforward
(self, x, randgen=None)
core/attacks/SleeperAgent.py:90
Methodforward
(self, x)
core/models/unet.py:24
Methodforward
(self, x)
core/models/unet.py:37
Methodforward
(self, x1, x2)
core/models/unet.py:54
Methodforward
(self, x)
core/models/unet.py:75
Methodforward
(self, x)
core/models/unet.py:98
Methodforward
(self, x)
core/models/unet.py:131
Methodforward
(self, x)
core/models/unet.py:162
Methodforward
(self, x)
core/models/unet.py:195
Methodforward
(self, x, coeffs_t)
core/models/resnet_curve.py:32
Methodforward
(self, x, coeffs_t)
core/models/resnet_curve.py:65
Methodforward
(self, x, coeffs_t)
core/models/resnet_curve.py:112
Methodforward
(self, x, coeffs_t)
core/models/vgg_curve.py:30
Methodforward
(self, x)
core/models/baseline_MNIST_network.py:23
Methodforward
(self, x)
core/models/autoencoder.py:24
Methodforward
(self, x)
core/models/autoencoder.py:80
Methodforward
(self, x)
core/models/vgg.py:15
Methodforward
(self, t)
core/models/curves.py:27
Methodforward
(self, t)
core/models/curves.py:39
Methodforward
(self, input, coeffs_t)
core/models/curves.py:100
Methodforward
(self, input, coeffs_t)
core/models/curves.py:155
Methodforward
(self, input, coeffs_t)
core/models/curves.py:217
Methodforward
(self, input, t=None)
core/models/curves.py:315
Methodforward
(self, x)
core/models/resnet.py:29
Methodforward
(self, x)
core/models/resnet.py:56
Methodforward
(self, x)
core/models/resnet.py:86
Methodforward
(self, x)
tests/test_LIRA.py:44
Methodforward
(self, x)
tests/test_LIRA.py:278
Methodforward
(self, x)
tests/test_LIRA.py:295
Methodforward_hook
(module, input, output)
core/defenses/NAD.py:227
Methodforward_hook
(module, input, output)
core/defenses/Pruning.py:108
Methodgen_kernel
Returns a 2D Gaussian kernel array.
core/attacks/Refool.py:151
Methodget_atkmodel
(self)
core/attacks/LIRA.py:369
Methodget_encoder
(self)
core/attacks/ISSBA.py:629
Methodget_filtered_poisoned_dataset
Return filtered poisoned dataset. Must call ABL.train() first to filter out poisoned samples.
core/defenses/ABL.py:158
Functionget_inference_result
(model, input)
core/attacks/Blind.py:55
Functionget_latent_grads
(target_label, model, inputs, labels)
core/attacks/Blind.py:138
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