Functions — github.com/THUYimingLi/BackdoorBox

Method__call__

(self, y_target)

tests/test_BAAT.py:73

Method__call__

Args: img (Tensor): Tensor image of size (C, H, W). Returns: Tensor: Image with n_holes of dimension length x

tests/test_NAD.py:44

Method__getitem__

(self, index)

core/defenses/ABL.py:82

Method__getitem__

Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.

core/attacks/LabelConsistent.py:254

Method__getitem__

(self, index)

core/attacks/LabelConsistent.py:313

Method__getitem__

(self, index)

core/attacks/LabelConsistent.py:369

Method__getitem__

Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.

core/attacks/LabelConsistent.py:424

Method__getitem__

Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.

core/attacks/Refool.py:296

Method__getitem__

(self, index)

core/attacks/Refool.py:369

Method__getitem__

(self, index)

core/attacks/Refool.py:440

Method__getitem__

Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.

core/attacks/BATT.py:61

Method__getitem__

Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.

core/attacks/BATT.py:123

Method__getitem__

(self, index)

core/attacks/BATT.py:184

Method__getitem__

(self, index)

core/attacks/BATT.py:242

Method__getitem__

(self, index)

core/attacks/BATT.py:303

Method__getitem__

(self, index)

core/attacks/BATT.py:361

Method__getitem__

Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.

core/attacks/BadNets.py:244

Method__getitem__

(self, index)

core/attacks/BadNets.py:303

Method__getitem__

(self, index)

core/attacks/BadNets.py:359

Method__getitem__

Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.

core/attacks/PhysicalBA.py:66

Method__getitem__

(self, index)

core/attacks/PhysicalBA.py:133

Method__getitem__

(self, index)

core/attacks/PhysicalBA.py:194

Method__getitem__

Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.

core/attacks/TUAP.py:273

Method__getitem__

(self, index)

core/attacks/TUAP.py:361

Method__getitem__

(self, index)

core/attacks/TUAP.py:447

Method__getitem__

(self, index)

core/attacks/ISSBA.py:63

Method__getitem__

Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.

core/attacks/WaNet.py:265

Method__getitem__

(self, index)

core/attacks/WaNet.py:342

Method__getitem__

(self, index)

core/attacks/WaNet.py:414

Method__getitem__

(self, index)

core/attacks/LIRA.py:120

Method__getitem__

(self, index)

core/attacks/IAD.py:52

Method__getitem__

Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.

core/attacks/AdaptivePatch.py:258

Method__getitem__

(self, index)

core/attacks/AdaptivePatch.py:333

Method__getitem__

(self, index)

core/attacks/AdaptivePatch.py:389

Method__getitem__

(self, idx)

core/attacks/SleeperAgent.py:30

Method__getitem__

Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.

core/attacks/Blended.py:243

Method__getitem__

(self, index)

core/attacks/Blended.py:302

Method__getitem__

(self, index)

core/attacks/Blended.py:358

Method__getitem__

(self, index)

tests/test_ISSBA.py:51

Method__init__

(self, log_path)

core/utils/log.py:2

Method__init__

(self, temperature=0.07, contrast_mode='all', base_temperature=0.07)

core/utils/supconloss.py:14

Method__init__

r""" Initializes internal attack state. Arguments: name (str) : name of an attack. model (torch.nn.Module): mo

core/utils/torchattacks/attack.py:13

Method__init__

(self, model, eps=0.3, alpha=2 / 255, steps=40, random_start=False)

core/utils/torchattacks/attacks/pgd.py:31

Method__init__

(self, model, n=5, xi=0.6, T = 0.9, scale=1.5, valset=None, seed=666, deterministic=False)

core/defenses/IBD_PSC.py:42

Method__init__

(self, autoencoder, pretrain=None, seed=0,

core/defenses/AutoEncoderDefense.py:38

Method__init__

(self, model, loss, power, beta=[],

core/defenses/NAD.py:74

Method__init__

(self, base, mask)

core/defenses/Pruning.py:18

Method__init__

(self, model, loss, seed=0, target_lab

core/defenses/Spectral.py:49

Method__init__

The local gradient ascent (LGA) loss used in first phrase (called pre-isolation phrase) in ABL. Args: loss (nn.Module): Loss for

core/defenses/ABL.py:32

Method__init__

(self, data_tensor, target_tensor=None, transforms=None, target_transforms=None)

core/defenses/ABL.py:63

Method__init__

(self, seed=0, deterministic=False)

core/defenses/base.py:19

Method__init__

(self, unet, model, pretrain=None, arr_pat

core/defenses/REFINE.py:44

Method__init__

(self, model, scale_set=None, threshold=None, valset=None, seed=666, deterministic=False)

core/defenses/SCALE_UP.py:21

Method__init__

(self, model, loss, beta, cutmix_prob,

core/defenses/CutMix.py:41

Method__init__

(self, num_features)

core/defenses/FLARE.py:20

Method__init__

(self, train_dataset=None, test_dataset=None, model=None,

core/defenses/FineTuning.py:51

Method__init__

(self, size_map, pad, seed=0, deterministi

core/defenses/ShrinkPad.py:48

Method__init__

(self, start_point, end_point, base_model,

core/defenses/MCR.py:100

Method__init__

(self, pattern, weight)

core/attacks/LabelConsistent.py:54

Method__init__

(self, pattern, weight)

core/attacks/LabelConsistent.py:140

Method__init__

(self, pattern, weight)

core/attacks/LabelConsistent.py:179

Method__init__

(self, y_target)

core/attacks/LabelConsistent.py:210

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/LabelConsistent.py:218

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/LabelConsistent.py:278

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/LabelConsistent.py:334

Method__init__

(self, target_adv_dataset, poisoned_set, pattern,

core/attacks/LabelConsistent.py:402

Method__init__

(self, train_dataset, test_dataset, model,

core/attacks/LabelConsistent.py:481

Method__init__

(self, size)

core/attacks/Blind.py:32

Method__init__

(self, pattern, alpha)

core/attacks/Blind.py:411

Method__init__

(self, y_target)

core/attacks/Refool.py:27

Method__init__

(self, total_num, reflection_cadidates, max_image_size=560, ghost_rate=0.49, alpha_b=-1., offset=(0, 0), sigma

core/attacks/Refool.py:46

Method__init__

Args: reflection_cadidates (List of numpy.ndarray of shape (H, W, C) or (H, W)) max_image_size (int): max(Height, Wei

core/attacks/Refool.py:239

Method__init__

(self, benign_dataset, y_target, poisoned_rate, poisoned_transform_index, \ poisoned_target_t

core/attacks/Refool.py:322

Method__init__

(self, benign_dataset, y_target, poisoned_rate, poisoned_transform_index, \ poisoned_targe

core/attacks/Refool.py:393

Method__init__

(self, y_target)

core/attacks/BATT.py:21

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/BATT.py:28

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/BATT.py:90

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/BATT.py:152

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/BATT.py:210

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/BATT.py:269

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/BATT.py:329

Method__init__

(self)

core/attacks/BadNets.py:21

Method__init__

(self, pattern, weight)

core/attacks/BadNets.py:44

Method__init__

(self, pattern, weight)

core/attacks/BadNets.py:130

Method__init__

(self, pattern, weight)

core/attacks/BadNets.py:169

Method__init__

(self, y_target)

core/attacks/BadNets.py:200

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/BadNets.py:208

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/BadNets.py:268

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/BadNets.py:324

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/PhysicalBA.py:23

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/PhysicalBA.py:91

Method__init__

(self, benign_dataset, y_target, poisoned_rate,

core/attacks/PhysicalBA.py:151

Method__init__

(self, train_dataset, test_dataset, model, loss, schedule=None, seed=0, deterministic=False)

core/attacks/base.py:60

Method__init__

(self, y_target)

core/attacks/BAAT.py:74

Method__init__

(self, checkpoint_dir: str, attribute_description: Any, size: int = 256)

core/attacks/BAAT.py:89

Method__init__

( self, checkpoint_dir: str, attribute_description: Dict[str, str], size: int

core/attacks/BAAT.py:206

Method__init__

( self, checkpoint_dir: str, attribute_description: Union[str, Path], decoder_

core/attacks/BAAT.py:342

Method__init__

(self)

core/attacks/TUAP.py:30

Method__init__

(self, pattern, mask)

core/attacks/TUAP.py:95

Method__init__

(self, pattern, mask)

core/attacks/TUAP.py:166

Functions664 in github.com/THUYimingLi/BackdoorBox