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Functions1,327 in github.com/Koukyosyumei/AIJack

⨍ Functions 1,327◇ Types & classes 242

( self, model, mu=0.1, tau=1.0, **kwargs, )

src/aijack/collaborative/moon/client.py:21

(self, parameters, lr=0.01, weight_decay=0.0001)

src/aijack/collaborative/optimizer/base.py:13

(self, parameters, lr=0.01, weight_decay=0.0000)

src/aijack/collaborative/optimizer/sgd.py:13

( self, parameters, lr=0.01, weight_decay=0.0001, beta1=0.9, b

src/aijack/collaborative/optimizer/adam.py:18

(self, x, y=None, transform=None, return_idx=False)

src/aijack/utils/utils.py:80

( self, model, criterion, optimizer, epoch=1, device="cpu",

src/aijack/utils/utils.py:111

attacker against ml model Args: target_model: target ML model

src/aijack/attack/base_attack.py:5

( self, models, )

src/aijack/attack/membership/utils.py:12

Attack model for memnership inference proposed in https://arxiv.org/abs/1610.05820 Args: models: models of attacker Attri

src/aijack/attack/membership/utils.py:108

Implementation of membership inference reference https://arxiv.org/abs/1610.05820 Args: target_model: the model of the

src/aijack/attack/membership/membership_inference.py:6

Inits GradientInversion_Attack class. Args: target_model: a target torch module instance. x_shape: the input shape of

src/aijack/attack/inversion/gradientinversion.py:57

( self, target_model, attacker_model, attacker_optimizer, log_interval

src/aijack/attack/inversion/generator_attack.py:7

(self, *args, **kwargs)

src/aijack/attack/inversion/gradientinversion_server.py:40

(self, *args, **kwargs)

src/aijack/attack/inversion/gradientinversion_server.py:78

(self, *args, **kwargs)

src/aijack/attack/inversion/gan_attack.py:42

(self, *args, **kwargs)

src/aijack/attack/inversion/gan_attack.py:130

Inits MI_FACE Args: target_model: model of the victim input_shape: input shapes of taregt model auxterm_fu

src/aijack/attack/inversion/mi_face.py:18

(self, net, num_fc_layers=1, m=1, bias=True)

src/aijack/attack/inversion/utils/datarepextractor.py:5

(self, *args, **kwargs)

src/aijack/attack/backdoor/dba.py:27

(self, *args, **kwargs)

src/aijack/attack/backdoor/modelreplacement.py:32

( self, target_model, target_model_on_edge, c=1.0, num_itr=1000,

src/aijack/attack/evasion/diva.py:31

( self, target_model, criterion, eps=0.3, grad_lower_bound=-0.1,

src/aijack/attack/evasion/fgsm.py:30

( self, target_model, X_minus_1, dmax, max_iter, gamma,

src/aijack/attack/evasion/evasion_attack.py:45

(self, *args, **kwargs)

src/aijack/attack/labelleakage/normattack.py:23

(self, *args, **kwargs)

src/aijack/attack/poison/mapf.py:22

(self, *args, **kwargs)

src/aijack/attack/poison/history.py:18

(self, *args, **kwargs)

src/aijack/attack/poison/label_flip.py:24

(self, *args, **kwargs)

src/aijack/attack/freerider/freerider.py:22

src/aijack/defense/purifier.py:11

Initialize a MultiBoxAssertionError. Args: message (str): The error message.

src/aijack/defense/debugging/assertions/assertions.py:10

Initializes the Hungarian algorithm.

src/aijack/defense/debugging/assertions/utils.py:9

(self, model, dummy_data, threshold=0.9, device="cpu")

src/aijack/defense/debugging/neuroncoverage/neuroncoverage.py:77

(self, *args, **kwargs)

src/aijack/defense/sparse/topk.py:51

Initialize the PixelDP module. Args: model (torch.nn.Module): The model to be used. num_classes (int): Numbe

src/aijack/defense/crobustness/pixeldp.py:151

(self, *args, **kwargs)

src/aijack/defense/soteria/soteria_client.py:30

(self, paillier_array)

src/aijack/defense/paillier/torch_wrapper.py:23

(self, *args, **kwargs)

src/aijack/defense/paillier/fed_wrapper.py:17

src/aijack/defense/kanonymity/wrapper.py:38

(self, *args, **kwargs)

src/aijack/defense/dp/manager/client.py:22

(self, dataset, lot_size, iterations)

src/aijack/defense/dp/manager/dataloader.py:7

(self, original_iterator, dp_optimizer)

src/aijack/defense/dp/manager/dataloader.py:25

(self, dp_optimizer, *args, **kwargs)

src/aijack/defense/dp/manager/dataloader.py:58

Initialize the GeneralMomentAccountant. Args: name (str, optional): Name of the accountant. Defaults to "SGM".

src/aijack/defense/dp/manager/accountant.py:274

( self, accountant, optimizer_cls, l2_norm_clip, dataset, lot_

src/aijack/defense/dp/manager/dp_manager.py:25

( self, accountant, optimizer_cls, l2_norm_clip, dataset, lot_

src/aijack/defense/dp/manager/dp_manager.py:102

(self, *args, **kwargs)

src/aijack/defense/dp/manager/dpoptimizer.py:78

(self, *args, **kwargs)

src/aijack/defense/dp/manager/adadps.py:117

(self, encoder, decoder, dim_z=256, num_samples=10, beta=1e-3)

src/aijack/defense/mid/nn.py:19

(self, *args, **kwargs)

src/aijack/defense/foolsgold/server.py:41

(self, *args, **kwargs)

src/aijack/manager/base.py:7

src/aijack/defense/paillier/torch_wrapper.py:123

src/aijack/defense/dp/manager/dataloader.py:12

src/aijack/defense/dp/manager/dataloader.py:30

src/aijack/defense/dp/manager/dataloader.py:63

get the number of rows of self.x

src/aijack/utils/utils.py:105

src/aijack/defense/dp/manager/dataloader.py:50

src/aijack/defense/dp/manager/dataloader.py:39

src/aijack/defense/paillier/torch_wrapper.py:117

src/aijack/defense/paillier/torch_wrapper.py:31

src/aijack/defense/paillier/torch_wrapper.py:132

src/aijack/defense/paillier/torch_wrapper.py:126

Method__torch_function__

(cls, func, types, args=(), kwargs=None)

src/aijack/defense/paillier/torch_wrapper.py:55

Method_add_encoded

src/aijack/defense/paillier/src/paillier.h:298

Function_default_gradinent_inversion_attack_on_receive

src/aijack/attack/inversion/gradientinversion_server.py:5

Function_greedy_search

src/aijack/defense/dp/core/search.cpp:68

Function_greedy_search_frac

src/aijack/defense/dp/core/search.cpp:94

Method_internal_add_data

aivalut/src/storage/data.pb.h:706

Method_internal_mutable_tos

aivalut/src/storage/data.pb.h:578

Method_internal_set_maxtxid

aivalut/src/storage/data.pb.h:671

Method_internal_set_mintxid

aivalut/src/storage/data.pb.h:651

Method_internal_set_tof

aivalut/src/storage/data.pb.h:627

Method_internal_set_toi

aivalut/src/storage/data.pb.h:526

Method_internal_set_tos

aivalut/src/storage/data.pb.h:554

Method_internal_set_type

aivalut/src/storage/data.pb.h:506

src/aijack/defense/paillier/src/paillier.h:338

Method_next_index

(self, *args, **kwargs)

src/aijack/defense/dp/manager/dataloader.py:36

Method_preprocess_local_gradients

Reconstructs dense gradient from the received sparse gradients Args: uploaded_grad (tuple(torch.Tensor, torch.Tensor)): t

src/aijack/defense/sparse/topk.py:54

(self, *args, **kwargs)

src/aijack/defense/dp/manager/dataloader.py:33

src/aijack/defense/dp/manager/accountant.py:141

Function_ternary_search

src/aijack/defense/dp/core/search.cpp:12

Function_ternary_search_int

src/aijack/defense/dp/core/search.cpp:42

(*args, **keywords)

src/aijack/defense/dp/manager/accountant.py:142

MethodabortTransaction

aivalut/src/core/executor.h:747

Execute thr routine of each communication.

src/aijack/collaborative/core/server.py:33

src/aijack/collaborative/fedavg/client.py:144

src/aijack/collaborative/fedavg/server.py:156

src/aijack/collaborative/fedmd/client.py:85

src/aijack/collaborative/fedmd/server.py:55

src/aijack/defense/paillier/src/keyring.h:32

MethodanalyzeComplaint

aivalut/src/compiler/analyze.h:259

MethodanalyzeCreateTable

aivalut/src/compiler/analyze.h:315

MethodanalyzeInsert

aivalut/src/compiler/analyze.h:97

MethodanalyzeLogreg

aivalut/src/compiler/analyze.h:248

MethodanalyzeSelect

aivalut/src/compiler/analyze.h:158

MethodanalyzeUpdate

aivalut/src/compiler/analyze.h:268

Methodanonymize

src/aijack/defense/kanonymity/core/anonymizer.h:185

Methodanonymize_dataframe_with_partition

* @brief Anonymizes the dataframe * * @param df * @param partition * @param quasiid_columns * @param sensitive_column * @return Data

src/aijack/defense/kanonymity/core/anonymizer.h:151

src/aijack/collaborative/fedavg/client.py:171

src/aijack/collaborative/fedavg/server.py:189

src/aijack/collaborative/fedmd/client.py:106

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