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github.com/THUYimingLi/BackdoorBox
/ functions
Functions
664 in github.com/THUYimingLi/BackdoorBox
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Functions
664
◇
Types & classes
179
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
Method
add_trigger
(img)
core/attacks/LabelConsistent.py:85
Method
add_trigger
(self, img, index)
core/attacks/Refool.py:183
Method
add_trigger
(self, img, index)
core/attacks/Refool.py:232
Method
add_trigger
(img)
core/attacks/BadNets.py:75
Method
add_trigger
(img)
core/attacks/AdaptivePatch.py:75
Method
add_trigger
(img)
core/attacks/Blended.py:74
Function
check
(dataset)
core/attacks/base.py:24
Function
clip_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
Method
clip_image
Return the function of clip image.
core/attacks/LIRA.py:441
Method
create_cifar
()
core/attacks/LIRA.py:415
Method
create_gtsrb
()
core/attacks/LIRA.py:419
Method
create_mnist
()
core/attacks/LIRA.py:411
Method
default_loader
(self, img)
core/attacks/TUAP.py:535
Method
detect
(self, dataset)
core/defenses/IBD_PSC.py:199
Method
detect
(self, dataset)
core/defenses/SCALE_UP.py:168
Method
edit_image
( self, input_path: Union[str, Path], output_dir: Union[str, Path], attribute_
core/attacks/BAAT.py:295
Method
edit_image
( self, input_path: Union[str, Path], output_dir: Union[str, Path], attribute_
core/attacks/BAAT.py:392
Method
export_base_parameters
(self, base_model, index)
core/models/curves.py:291
Method
extra_repr
(self)
core/models/curves.py:234
Method
find_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
Method
find_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
Method
forward
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
Method
forward
r""" Overridden.
core/utils/torchattacks/attacks/pgd.py:38
Method
forward
(self, fm_s, fm_t)
core/defenses/NAD.py:41
Method
forward
(self, input)
core/defenses/Pruning.py:23
Method
forward
(self, logits, targets)
core/defenses/ABL.py:48
Method
forward
(self, x)
core/defenses/FLARE.py:42
Method
forward
(self, x, latent=None)
core/attacks/Blind.py:42
Method
forward
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
Method
forward
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
Method
forward
(self, inputs)
core/attacks/ISSBA.py:200
Method
forward
(self, image)
core/attacks/ISSBA.py:287
Method
forward
(self, image)
core/attacks/ISSBA.py:324
Method
forward
(self, inputs)
core/attacks/ISSBA.py:369
Method
forward
(self, image)
core/attacks/ISSBA.py:448
Method
forward
(self, image)
core/attacks/ISSBA.py:485
Method
forward
(self, x)
core/attacks/ISSBA.py:519
Method
forward
(self, x)
core/attacks/ISSBA.py:545
Method
forward
(self, x)
core/attacks/LIRA.py:35
Method
forward
(self, x)
core/attacks/LIRA.py:52
Method
forward
(self, x)
core/attacks/LIRA.py:76
Method
forward
(self, x)
core/attacks/LIRA.py:152
Method
forward
(self, x)
core/attacks/LIRA.py:191
Method
forward
(self, x)
core/attacks/LIRA.py:255
Method
forward
(self, x)
core/attacks/LIRA.py:273
Method
forward
(self, x)
core/attacks/LIRA.py:299
Method
forward
(self, x)
core/attacks/IAD.py:117
Method
forward
(self, x)
core/attacks/IAD.py:131
Method
forward
(self, x)
core/attacks/IAD.py:145
Method
forward
(self, x)
core/attacks/IAD.py:227
Method
forward
(self, x, randgen=None)
core/attacks/SleeperAgent.py:90
Method
forward
(self, x)
core/models/unet.py:24
Method
forward
(self, x)
core/models/unet.py:37
Method
forward
(self, x1, x2)
core/models/unet.py:54
Method
forward
(self, x)
core/models/unet.py:75
Method
forward
(self, x)
core/models/unet.py:98
Method
forward
(self, x)
core/models/unet.py:131
Method
forward
(self, x)
core/models/unet.py:162
Method
forward
(self, x)
core/models/unet.py:195
Method
forward
(self, x, coeffs_t)
core/models/resnet_curve.py:32
Method
forward
(self, x, coeffs_t)
core/models/resnet_curve.py:65
Method
forward
(self, x, coeffs_t)
core/models/resnet_curve.py:112
Method
forward
(self, x, coeffs_t)
core/models/vgg_curve.py:30
Method
forward
(self, x)
core/models/baseline_MNIST_network.py:23
Method
forward
(self, x)
core/models/autoencoder.py:24
Method
forward
(self, x)
core/models/autoencoder.py:80
Method
forward
(self, x)
core/models/vgg.py:15
Method
forward
(self, t)
core/models/curves.py:27
Method
forward
(self, t)
core/models/curves.py:39
Method
forward
(self, input, coeffs_t)
core/models/curves.py:100
Method
forward
(self, input, coeffs_t)
core/models/curves.py:155
Method
forward
(self, input, coeffs_t)
core/models/curves.py:217
Method
forward
(self, input, t=None)
core/models/curves.py:315
Method
forward
(self, x)
core/models/resnet.py:29
Method
forward
(self, x)
core/models/resnet.py:56
Method
forward
(self, x)
core/models/resnet.py:86
Method
forward
(self, x)
tests/test_LIRA.py:44
Method
forward
(self, x)
tests/test_LIRA.py:278
Method
forward
(self, x)
tests/test_LIRA.py:295
Method
forward_hook
(module, input, output)
core/defenses/NAD.py:227
Method
forward_hook
(module, input, output)
core/defenses/Pruning.py:108
Method
gen_kernel
Returns a 2D Gaussian kernel array.
core/attacks/Refool.py:151
Method
get_atkmodel
(self)
core/attacks/LIRA.py:369
Method
get_encoder
(self)
core/attacks/ISSBA.py:629
Method
get_filtered_poisoned_dataset
Return filtered poisoned dataset. Must call ABL.train() first to filter out poisoned samples.
core/defenses/ABL.py:158
Function
get_inference_result
(model, input)
core/attacks/Blind.py:55
Function
get_latent_grads
(target_label, model, inputs, labels)
core/attacks/Blind.py:138
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