对抗性鲁棒性工具箱（ART）-用于机器学习安全性的Python库-规避，中毒，提取，推理-Python开发
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2021-05-25
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对抗性鲁棒性工具箱（ART）-用于机器学习安全性的Python库-规避，中毒，提取，推理-Python开发 （629个子文件） 
AUTHORS 347B make.bat 834B setup.cfg 875B .coveragerc 254B Dockerfile 2KB Dockerfile 1KB Dockerfile 245B .dockerIgnore 20B
adversarial_basketball.gif 1.27MB prov_defense.gif 1020KB adversarial_basketball_sparse.gif 857KB basketball.gif 838KB svm_poly.gif 674KB roni.gif 493KB .gitattributes 86B .gitignore 1KB model_test_functionally_equivalent_extraction.h5 325KB MANIFEST.in 141B attack_hopskipjump.ipynb 12.23MB attack_decision_based_boundary.ipynb 7.38MB adversarial_action_recognition.ipynb 3.55MB attack_defence_imagenet.ipynb 3.02MB poisoning_defense_activation_clustering.ipynb 2.02MB expectation_over_transformation_classification_rotation.ipynb 1.47MB poisoning_attack_embedding.ipynb 1.15MB classifier_scikitlearn_SVC_LinearSVC.ipynb 944KB attack_adversarial_patch.ipynb 859KB attack_adversarial_patch_TensorFlowV2.ipynb 807KB asr_deepspeech_examples.ipynb 680KB classifier_blackbox_tesseract.ipynb 298KB adversarial_audio_examples.ipynb 277KB classifier_scikitlearn_ExtraTreesClassifier.ipynb 173KB model-stealing-demo.ipynb 167KB poisoning_defense_spectral_signatures.ipynb 165KB model_inversion_attacks_mnist.ipynb 165KB classifier_xgboost.ipynb 159KB classifier_scikitlearn_RandomForestClassifier.ipynb 154KB classifier_scikitlearn_BaggingClassifier.ipynb 154KB classifier_catboost.ipynb 153KB poisoning_attack_feature_collision.ipynb 152KB classifier_scikitlearn_GradientBoostingClassifier.ipynb 148KB classifier_scikitlearn_AdaBoostClassifier.ipynb 141KB classifier_lightgbm.ipynb 127KB classifier_scikitlearn_DecisionTreeClassifier.ipynb 124KB classifier_gpy_gaussian_process.ipynb 112KB poisoning_attack_clean_label_backdoor.ipynb 109KB poisoning_defense_neural_cleanse.ipynb 100KB fabric_for_deep_learning_adversarial_samples_fashion_mnist.ipynb 92KB poisoning_defence_strip.ipynb 82KB poisoning_attack_svm.ipynb 74KB poisoning_attack_bullseye_polytope.ipynb 59KB detection_adversarial_samples_cifar10.ipynb 55KB classifier_scikitlearn_LogisticRegression.ipynb 52KB security_curve.ipynb 44KB art-for-tensorflow-v2-callable.ipynb 43KB classifier_blackbox.ipynb 38KB poisoning_attack_backdoor_image.ipynb 36KB adversarial_training_mnist.ipynb 34KB output_randomized_smoothing_mnist.ipynb 30KB provenance_defence.ipynb 29KB attack_decision_tree.ipynb 28KB classifier_scikitlearn_pipeline_pca_cv_svc.ipynb 22KB evaluation_12_EMPIR.ipynb 21KB art-for-tensorflow-v2-keras.ipynb 20KB attack_membership_inference.ipynb 14KB attack_attribute_inference.ipynb 11KB attack_database_reconstruction.ipynb 9KB adversarial_retraining.ipynb 9KB robustness_verification_clique_method_tree_ensembles_gradient_boosted_decision_trees_classifiers.ipynb 8KB test_deeplearning_common.json 69KB test_l_filter.json 19KB test_pytorch_deep_speech.json 15KB test_l_filter_pytorch.json 7KB test_imperceptible_asr_pytorch.json 5KB test_deeplearning_specific.json 3KB LICENSE 1KB Makefile 1KB Makefile 627B README.md 16KB README.md 5KB README-cn.md 5KB README.md 4KB MAINTAINERS.md 3KB README.md 3KB CONTRIBUTING.md 1KB PULL_REQUEST_TEMPLATE.md 1KB CODE_OF_CONDUCT.md 702B bug_report.md 588B README.md 574B feature_request.md 561B W_DENSE_MNIST.npy 2KB W_DENSE2_IRIS.npy 928B W_CONV2D_MNIST.npy 520B W_DENSE1_IRIS.npy 448B W_DENSE3_IRIS.npy 368B W_CONV2D_MNIST_BINARY.npy 324B W_DENSE_MNIST_BINARY.npy 228B B_DENSE_MNIST.npy 208B B_DENSE2_IRIS.npy 208B B_DENSE1_IRIS.npy 208B共 629 条
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