298178ce60c17dce5044964e2221461b94f499a4,tests/attacks/inference/test_membership_inference.py,,test_black_box_with_model,#Any#Any#,292
Before Change
(x_train, y_train), (x_test, y_test) = get_iris_dataset
attack_train_size = int(len(x_train) * attack_train_ratio)
attack_test_size = int(len(x_test) * attack_train_ratio)
model = AttackModel(2 * num_classes_iris)
// Define a loss function and optimizer
After Change
for classifier in classifier_list:
print(type(classifier).__name__)
attack = MembershipInferenceBlackBox(classifier, attack_model=attack_model)
backend_check_membership_accuracy(attack, get_iris_dataset, attack_train_ratio, 0.03)
def test_errors(get_tabular_classifier_list, get_iris_dataset):
classifier_list = get_tabular_classifier_list(MembershipInferenceBlackBox)
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 8
Instances
Project Name: IBM/adversarial-robustness-toolbox
Commit Name: 298178ce60c17dce5044964e2221461b94f499a4
Time: 2020-08-25
Author: abigailt@il.ibm.com
File Name: tests/attacks/inference/test_membership_inference.py
Class Name:
Method Name: test_black_box_with_model
Project Name: IBM/adversarial-robustness-toolbox
Commit Name: 298178ce60c17dce5044964e2221461b94f499a4
Time: 2020-08-25
Author: abigailt@il.ibm.com
File Name: tests/attacks/inference/test_membership_inference.py
Class Name:
Method Name: test_black_box_tabular_rf
Project Name: IBM/adversarial-robustness-toolbox
Commit Name: 298178ce60c17dce5044964e2221461b94f499a4
Time: 2020-08-25
Author: abigailt@il.ibm.com
File Name: tests/attacks/inference/test_membership_inference.py
Class Name:
Method Name: test_black_box_tabular_gb
Project Name: IBM/adversarial-robustness-toolbox
Commit Name: 298178ce60c17dce5044964e2221461b94f499a4
Time: 2020-08-25
Author: abigailt@il.ibm.com
File Name: tests/attacks/inference/test_membership_inference.py
Class Name:
Method Name: test_black_box_image