Functions — github.com/AI-secure/CRFL

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Functions107 in github.com/AI-secure/CRFL

⨍ Functions 107◇ Types & classes 23

↓ 10 callersMethodget_batch

(self, train_data, bptt, evaluation=False)

utils/loan_helper.py:70

↓ 7 callersMethodget_poison_batch

(self, bptt,feature_dict, evaluation=False)

utils/loan_helper.py:79

↓ 6 callersMethodload_data

(self,params_loaded)

utils/loan_helper.py:156

↓ 5 callersMethodget_testloader

(self)

utils/loan_helper.py:46

↓ 4 callersMethodSetIsTrain

(self,isTrain)

utils/loan_helper.py:243

↓ 4 callersMethodcreate_model

(self)

utils/loan_helper.py:130

↓ 4 callersFunctioneval_model

(model, helper, is_poison=False)

smooth_mnist.py:15

↓ 4 callersMethodl2dist

L2 distance between p1, p2, each of which is a list of nd-arrays

utils/helper.py:178

↓ 4 callersMethodsave_checkpoint

(self, state, is_best, filename='checkpoint.pth.tar')

utils/helper.py:45

↓ 3 callersMethodadd_pixel_pattern

(self,ori_image,adversarial_index)

utils/image_helper.py:218

↓ 2 callersMethodadd_pattern

(self,ori_data,feature_dict)

utils/loan_helper.py:111

↓ 2 callersMethodat_radii

(self, radii: np.ndarray)

certify_emnist.py:18

↓ 2 callersMethodat_radii

(self, radii: np.ndarray)

certify_loan.py:25

↓ 2 callersMethodat_radii

(self, radii: np.ndarray)

certify_mnist.py:19

↓ 2 callersFunctioncal_prob_bound

(pa, pb, sigma_test,epoch, training_params,agg_weight=None)

certify_emnist.py:102

↓ 2 callersFunctioncal_prob_bound

(pa, pb, sigma_test,epoch, training_params,agg_weight=None)

certify_loan.py:109

↓ 2 callersFunctioncal_prob_bound

(pa, pb, sigma_test,epoch, training_params,agg_weight=None)

certify_mnist.py:104

↓ 2 callersFunctioncertify

(smoothed_fname,agg_weight=None, M=0, alpha= 0)

certify_emnist.py:141

↓ 2 callersFunctioncertify

(smoothed_fname,agg_weight=None, M=0, alpha= 0)

certify_loan.py:146

↓ 2 callersFunctioncertify

(smoothed_fname,agg_weight=None, M=0, alpha= 0)

certify_mnist.py:143

↓ 2 callersMethodgeometric_median_objective

Compute geometric median objective.

utils/helper.py:187

↓ 2 callersMethodmodel_global_norm

(model)

utils/helper.py:54

↓ 2 callersFunctionprobability_estimation

(labs,model_preds)

smooth_mnist.py:53

↓ 2 callersMethodweighted_average_oracle

Computes weighted average of atoms with specified weights Args: points: list, whose weighted average we wish to calculate

utils/helper.py:197

↓ 1 callersMethodat_radius

(self, radius: float)

certify_emnist.py:33

↓ 1 callersMethodat_radius

(self, radius: float)

certify_emnist.py:46

↓ 1 callersMethodat_radius

(self, radius: float)

certify_loan.py:40

↓ 1 callersMethodat_radius

(self, radius: float)

certify_loan.py:53

↓ 1 callersMethodat_radius

(self, radius: float)

certify_mnist.py:34

↓ 1 callersMethodat_radius

(self, radius: float)

certify_mnist.py:47

↓ 1 callersMethodaverage_models_params

Perform FedAvg algorithm on model params

utils/helper.py:83

↓ 1 callersMethodbuild_classes_dict

(self)

utils/image_helper.py:54

↓ 1 callersFunctioncertificate_over_model

(model, model_fname, helper, N_m, sigma)

smooth_mnist.py:88

↓ 1 callersFunctioncertificate_over_model

(model, model_fname, helper, N_m, sigma)

smooth_emnist.py:91

↓ 1 callersFunctioncertificate_over_model

(model, model_fname, helper, N_m, sigma)

smooth_loan.py:100

↓ 1 callersMethodclip_weight_norm

(model,clip)

utils/helper.py:61

↓ 1 callersMethodcopy_params

(self, state_dict, coefficient_transfer=100)

models/simple.py:24

↓ 1 callersFunctiondp_noise

(param, sigma)

smooth_mnist.py:44

↓ 1 callersFunctiondp_noise

(param, sigma)

smooth_emnist.py:47

↓ 1 callersFunctiondp_noise

(param, sigma)

smooth_loan.py:56

↓ 1 callersMethoddp_noise

(param, sigma)

utils/helper.py:76

↓ 1 callersMethodgeometric_median_update

Computes geometric median of atoms with weights alphas using Weiszfeld's Algorithm

utils/helper.py:107

↓ 1 callersMethodget_test

(self)

utils/image_helper.py:172

↓ 1 callersMethodget_train_iid

This method equally splits the dataset. :param params: :param all_range: :param model_no: :return:

utils/image_helper.py:155

↓ 1 callersMethodget_trainloader

This method is used along with Dirichlet distribution :param params: :param indices: :return:

utils/loan_helper.py:33

↓ 1 callersMethodload_data

(self, filename='./data/loan/loan_IA.csv')

utils/loan_helper.py:27

↓ 1 callersMethodpoison_test_dataset

(self)

utils/image_helper.py:64

↓ 1 callersFunctionprobability_estimation

(labs,model_preds)

smooth_emnist.py:56

↓ 1 callersFunctionprobability_estimation

(labs,model_preds)

smooth_loan.py:65

↓ 1 callersMethodsave_model

(self, model=None, epoch=0, val_loss=0)

utils/helper.py:222

↓ 1 callersFunctionsmooth_model

(target_model, sigma)

smooth_mnist.py:48

↓ 1 callersFunctionsmooth_model

(target_model, sigma)

smooth_emnist.py:51

↓ 1 callersFunctionsmooth_model

(target_model, sigma)

smooth_loan.py:60

FunctionFLtrain

(helper, start_epoch, local_model, target_model, is_poison,agent_name_keys)

train.py:11

Method__getitem__

(self, index)

utils/loan_helper.py:235

Method__init__

(self, smoothed_fname,agg_weight=None,M=0,alpha= 0)

certify_emnist.py:24

Method__init__

(self, smoothed_fname, agg_weight=None,M=0,alpha= 0)

certify_emnist.py:37

Method__init__

(self, quantity: Accuracy, legend: str, plot_fmt: str = "", scale_x: float = 1)

certify_emnist.py:51

Method__init__

(self, smoothed_fname,agg_weight=None,M=0,alpha= 0)

certify_loan.py:31

Method__init__

(self, smoothed_fname, agg_weight=None,M=0,alpha= 0)

certify_loan.py:44

Method__init__

(self, quantity: Accuracy, legend: str, plot_fmt: str = "", scale_x: float = 1)

certify_loan.py:58

Method__init__

(self, smoothed_fname,agg_weight=None,M=0,alpha= 0)

certify_mnist.py:25

Method__init__

(self, smoothed_fname, agg_weight=None,M=0,alpha= 0)

certify_mnist.py:38

Method__init__

(self, quantity: Accuracy, legend: str, plot_fmt: str = "", scale_x: float = 1)

certify_mnist.py:52

Method__init__

(self, params)

utils/loan_helper.py:23

Method__init__

Args: csv_file (string): Path to the csv file with annotations.

utils/loan_helper.py:200

Method__init__

(self, current_time, params, name)

utils/helper.py:17

Method__init__

(self, name=None, created_time=None)

models/simple.py:13

Method__init__

(self, name=None, created_time=None,num_of_classes = 47)

models/EmnistNet.py:12

Method__init__

(self, in_dim=90, out_dim=9, name=None, created_time=None)

models/loan_model.py:11

Method__init__

(self, name=None, created_time=None,num_of_classes = 10)

models/MnistNet.py:12

Method__len__

(self)

utils/loan_helper.py:229

Functionadd_global_acc_result

(acc)

utils/csv_record.py:57

Functionadd_norm_result

(norm)

utils/csv_record.py:61

Functionadd_weight_result

(name,weight,alpha)

utils/csv_record.py:65

Functionadv_test

(helper, epoch, model, is_poison=False, visualize=True, agent_name_key="")

test.py:51

Methodat_radii

(self, radii: np.ndarray)

certify_emnist.py:30

Methodat_radii

(self, radii: np.ndarray)

certify_emnist.py:43

Methodat_radii

(self, radii: np.ndarray)

certify_loan.py:37

Methodat_radii

(self, radii: np.ndarray)

certify_loan.py:50

Methodat_radii

(self, radii: np.ndarray)

certify_mnist.py:31

Methodat_radii

(self, radii: np.ndarray)

certify_mnist.py:44

Functionclean_test

(helper, epoch, model, is_poison=False, visualize=True, agent_name_key="")

test.py:7

Methodcreate_model

(self)

utils/image_helper.py:18

Functioneval_model

(model, helper, is_poison=False)

smooth_emnist.py:18

Functioneval_model

(model, helper, is_poison=False)

smooth_loan.py:18

Methodforward

(self, input)

models/EmnistNet.py:8

Methodforward

(self, x)

models/EmnistNet.py:19

Methodforward

(self, x)

models/loan_model.py:19

models/MnistNet.py:20

MethodgetPortion

(self,loan_status=0)

utils/loan_helper.py:246

Methodget_batch

(self, train_data, bptt, evaluation=False)

utils/image_helper.py:179

Methodget_poison_batch

(self, bptt,adversarial_index=-1, evaluation=False)

utils/image_helper.py:188

Methodget_poison_testloader

(self)

utils/loan_helper.py:62

Methodget_poison_trainloader

(self)

utils/loan_helper.py:55

Methodget_train

This method is used along with Dirichlet distribution :param params: :param indices: :return:

utils/image_helper.py:142

Methodload_data

(self)

utils/image_helper.py:89

Functionplot_certified_accuracy

(outfile: str, title: str, max_radius: float, lines: List[Line], radius_step: floa

certify_emnist.py:58

Functionplot_certified_accuracy

(outfile: str, title: str, max_radius: float, lines: List[Line], radius_step: floa

certify_loan.py:65

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