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Functions1,327 in github.com/Koukyosyumei/AIJack

⨍ Functions 1,327◇ Types & classes 242

↓ 1 callersMethodeq

aivalut/src/compiler/parse.h:89

↓ 1 callersMethodeval

src/aijack/collaborative/splitnn/api.py:61

↓ 1 callersMethodevaluation

(self, i, logging)

src/aijack/collaborative/fedmd/api.py:122

↓ 1 callersMethodexecuteMain

aivalut/src/core/executor.h:751

↓ 1 callersFunctionextended_euclidean

src/aijack/defense/paillier/src/extended_euclidean.h:25

↓ 1 callersMethodextract_intermidiate_gradient

(self, outputs)

src/aijack/attack/labelleakage/normattack.py:29

↓ 1 callersMethodfetchPage

aivalut/src/storage/disk.h:17

↓ 1 callersMethodfind

src/aijack/defense/tsl/robin_map.h:488

↓ 1 callersMethodfind

src/aijack/defense/tsl/robin_hash.h:999

↓ 1 callersMethodfind_split_per_party

src/aijack/collaborative/tree/secureboost/node.h:117

↓ 1 callersMethodfind_split_per_party

src/aijack/collaborative/tree/xgboost/node.h:150

↓ 1 callersMethodfit

src/aijack/utils/utils.py:131

↓ 1 callersMethodfit

src/aijack/attack/membership/membership_inference.py:25

↓ 1 callersMethodforward

Send intermidiate tensor to the server Args: x (torch.Tensor): the input data Returns: intermidiate_to_next_

src/aijack/collaborative/splitnn/client.py:11

↓ 1 callersMethodforward

src/aijack/collaborative/splitnn/api.py:37

↓ 1 callersMethodforward_eval

src/aijack/defense/crobustness/pixeldp.py:223

↓ 1 callersMethodforward_train

src/aijack/defense/crobustness/pixeldp.py:220

↓ 1 callersMethodgetInfluence

aivalut/src/ml/rain.h:38

↓ 1 callersFunctionget_certified_robustness_size_argmax

Calculate the maximum certified robustness size. Args: counts (torch.Tensor): Count of predictions. eta (float): Eta value.

src/aijack/defense/crobustness/pixeldp.py:118

↓ 1 callersMethodget_data_categorical

src/aijack/defense/kanonymity/core/dataframe.h:51

↓ 1 callersMethodget_data_continuous

src/aijack/defense/kanonymity/core/dataframe.h:56

↓ 1 callersMethodget_final_partitions

src/aijack/defense/kanonymity/wrapper.py:41

↓ 1 callersMethodget_grad_w

aivalut/src/ml/loss.h:141

↓ 1 callersMethodget_grad_w_ewise

aivalut/src/ml/loss.h:79

↓ 1 callersMethodget_hess_w

aivalut/src/ml/loss.h:109

↓ 1 callersFunctionget_intermediate_outputs

(model, data, module, force_relu=True)

src/aijack/defense/debugging/neuroncoverage/neuroncoverage.py:61

↓ 1 callersFunctionget_layer_output_sizes

(model, layer_dict, data)

src/aijack/defense/debugging/neuroncoverage/neuroncoverage.py:40

↓ 1 callersFunctionget_maximum_L_gaussian

Calculate the maximum L value for Gaussian mechanism. Args: p_max_lb (float): Lower bound of the maximum probability. p_sec_

src/aijack/defense/crobustness/pixeldp.py:57

↓ 1 callersFunctionget_maximum_L_laplace

Calculate the maximum L value for Laplace mechanism. Args: lower_bound (float): Lower bound of the confidence interval. uppe

src/aijack/defense/crobustness/pixeldp.py:39

↓ 1 callersMethodget_min_num_row

* @brief Get the minmum number of rows * * @param max_row * @return size_t */

src/aijack/defense/kanonymity/core/dataframe.h:167

↓ 1 callersFunctionget_model_layers

(model, cross_section_size=0)

src/aijack/defense/debugging/neuroncoverage/neuroncoverage.py:26

↓ 1 callersFunctionget_nunique

* @brief Gets the number of unique object * * @param xs * @return size_t */

src/aijack/defense/kanonymity/core/utils.h:59

↓ 1 callersMethodget_params_of_p_z_given_x

Compute parameters of p(z|x). Args: x (torch.Tensor): Input tensor. Returns: tuple: Tuple containin

src/aijack/defense/mid/nn.py:27

↓ 1 callersMethodget_party_id

src/aijack/collaborative/tree/xgboost/node.h:126

↓ 1 callersMethodget_record_id

src/aijack/collaborative/tree/xgboost/node.h:128

↓ 1 callersFunctionget_thresholds_idxs

aivalut/src/ml/metrics.h:21

↓ 1 callersFunctionget_thresholds_idxs

src/aijack/collaborative/tree/utils/metric.h:23

↓ 1 callersMethodget_val

src/aijack/collaborative/tree/xgboost/node.h:130

↓ 1 callersMethodgreedy_search_split

src/aijack/collaborative/tree/xgboost/party.h:47

↓ 1 callersMethodgreedy_search_split_encrypt

src/aijack/collaborative/tree/secureboost/party.h:133

↓ 1 callersMethodgroup_attack

Multiple simultaneous attacks with different random states Args: received_gradients: the list of gradients received from the clie

src/aijack/attack/inversion/gradientinversion.py:400

↓ 1 callersFunctiongroup_consistency

Computes the group consistency loss between an input and a group of inputs. Args: x (torch.Tensor): The input tensor. group_x (li

src/aijack/attack/inversion/utils/regularization.py:33

↓ 1 callersMethodhash_key

src/aijack/defense/tsl/robin_hash.h:1124

↓ 1 callersMethodinsert

src/aijack/defense/tsl/robin_map.h:233

↓ 1 callersFunctioninsert_anonymized_quasiid

* @brief Anonymizes the subset of the dataframe * * @param df * @param anonymized_df * @param indices * @param column * @param is_continuous_fla

src/aijack/defense/kanonymity/core/anonymizer.h:39

↓ 1 callersMethodinsert_categorical_column

* @brief Insert a categorical column * * @param column * @param values */

src/aijack/defense/kanonymity/core/dataframe.h:138

↓ 1 callersMethodinsert_continuous_column

* @brief Insert a continuous column * * @param column * @param values */

src/aijack/defense/kanonymity/core/dataframe.h:116

↓ 1 callersMethodinsert_value_on_rehash

src/aijack/defense/tsl/robin_hash.h:1357

↓ 1 callersMethodis_leaf

src/aijack/collaborative/tree/secureboost/node.h:278

↓ 1 callersFunctionkArgmax

aivalut/src/core/executor.h:25

↓ 1 callersFunctionlabel_matching

Computes the label matching loss between predicted and target labels. Args: pred (torch.Tensor): Predicted labels. label (torch.T

src/aijack/attack/inversion/utils/regularization.py:18

↓ 1 callersMethodlast_bucket

src/aijack/defense/tsl/robin_hash.h:277

↓ 1 callersFunctionlbeta

src/aijack/defense/dp/core/utils.cpp:21

↓ 1 callersMethodloadMLModel

aivalut/src/storage/storage.h:111

↓ 1 callersMethodlocal_train

src/aijack/collaborative/splitnn/api.py:17

↓ 1 callersMethodlocal_train

src/aijack/collaborative/core/api.py:11

↓ 1 callersMethodlocal_train

(self, com_cnt)

src/aijack/collaborative/fedavg/api.py:129

↓ 1 callersFunctionmake_root

src/aijack/collaborative/tree/secureboost/tree.h:9

↓ 1 callersFunctionmake_root_node

src/aijack/collaborative/tree/xgboost/tree.h:9

↓ 1 callersMethodmatmul

src/aijack/defense/paillier/torch_wrapper.py:102

↓ 1 callersMethodmax_size

src/aijack/defense/tsl/robin_hash.h:723

↓ 1 callersFunctionmib_loss

Implementation of MID loss for NN proposed in https://arxiv.org/abs/2009.05241 Args: y (torch.Tensor): ground-truth label sampled

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

↓ 1 callersFunctionmiller_rabin_primality_test

src/aijack/defense/paillier/src/prime.h:58

↓ 1 callersFunctionminMaxNormalize

aivalut/src/ml/logisticregression.h:7

↓ 1 callersMethodmpi_distribute

src/aijack/collaborative/fedmd/server.py:71

↓ 1 callersMethodmpi_initialize

src/aijack/collaborative/fedavg/client.py:164

↓ 1 callersMethodmpi_receive

src/aijack/collaborative/fedmd/server.py:61

↓ 1 callersMethodmpi_receive_local_logits

src/aijack/collaborative/fedmd/server.py:64

↓ 1 callersMethodmpi_upload

src/aijack/collaborative/fedmd/client.py:90

↓ 1 callersMethodmpi_upload_logits

(self, destination_id=0)

src/aijack/collaborative/fedmd/client.py:93

↓ 1 callersFunctionnearly_contains

Check if box_1 nearly contains box_2 with a given epsilon value. Args: box_1 (tuple|list): The coordinates of the first box in the f

src/aijack/defense/debugging/assertions/assertions.py:20

↓ 1 callersMethodnewTxid

aivalut/src/storage/tran.h:45

↓ 1 callersMethodnormalize

aivalut/src/ml/logisticregression.h:72

↓ 1 callersFunctionparse_args

aivalut/src/main.cpp:18

↓ 1 callersMethodplanMain

aivalut/src/core/plan.h:152

↓ 1 callersFunctionpositive_mod

src/aijack/defense/paillier/src/paillier.h:19

↓ 1 callersMethodpredict

src/aijack/utils/utils.py:167

↓ 1 callersMethodpredict_proba

get probabilities of whether the given prediction came from training data or not Args: pred (torch.Tensor): predicted

src/aijack/attack/membership/membership_inference.py:69

↓ 1 callersFunctionpsnr

Calculate the peak signal-to-noise ratio (PSNR) between two images. Args: img_1 (numpy.ndarray): The first image. img_2 (num

src/aijack/defense/debugging/assertions/assertions.py:76

↓ 1 callersMethodraw_encrypt

src/aijack/defense/paillier/src/paillier.h:392

↓ 1 callersFunctionreadFileLines

aivalut/src/main.cpp:41

↓ 1 callersMethodreceive

src/aijack/collaborative/fedavg/server.py:162

↓ 1 callersMethodreceive_local_gradients

Receive local gradients

src/aijack/collaborative/fedavg/server.py:90

↓ 1 callersMethodreceive_local_gradients

src/aijack/collaborative/fedavg/server.py:165

↓ 1 callersMethodreceive_local_parameters

Receive local parameters

src/aijack/collaborative/fedavg/server.py:96

↓ 1 callersMethodreserve

src/aijack/defense/tsl/robin_map.h:696

↓ 1 callersMethodreset_seed

src/aijack/attack/inversion/gradientinversion_server.py:69

↓ 1 callersMethodrevert

Revert the local model state to the previous global model

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

↓ 1 callersMethodrevisit_phase

(self, logging)

src/aijack/collaborative/fedmd/api.py:109

↓ 1 callersMethodrevisit_phase

src/aijack/collaborative/fedmd/api.py:223

↓ 1 callersMethodrobust_greedy_search_split

src/aijack/collaborative/tree/xgboost/party.h:248

↓ 1 callersMethodrobust_split_rows

src/aijack/collaborative/tree/xgboost/party.h:165

↓ 1 callersMethodrun

src/aijack/collaborative/dsfl/api.py:62

↓ 1 callersMethodrun_as_passive

src/aijack/collaborative/tree/secureboost/mpiparty.h:399

↓ 1 callersMethodsampling_from_encoder

Sample from encoder distribution. Args: mu (torch.Tensor): Mean of the distribution. sigma (torch.Tensor): S

src/aijack/defense/mid/nn.py:46

↓ 1 callersMethodsave

aivalut/src/ml/logisticregression.h:90

↓ 1 callersFunctionscale

(out, dim=-1, rmax=1, rmin=0)

src/aijack/defense/debugging/neuroncoverage/neuroncoverage.py:7

↓ 1 callersMethodscore

src/aijack/utils/utils.py:170

↓ 1 callersMethodself_evaluation_on_the_public_dataset

Execute self evaluation on the public dataset Args: idxs (torch.Tensor): indexs of x x (torch.Tensor): input data

src/aijack/collaborative/fedgems/server.py:53

↓ 1 callersFunctionserver

aivalut/src/main.cpp:111

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