AdvSecureNet Package

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• advsecurenet.attacks package
  • advsecurenet.attacks.attacker package
    • advsecurenet.attacks.attacker.attacker module
      • Attacker
        • Attacker.execute()
    • advsecurenet.attacks.attacker.ddp_attacker module
      • DDPAttacker
        • DDPAttacker.execute()
        • DDPAttacker.gather_results()
  • advsecurenet.attacks.base package
    • advsecurenet.attacks.base.adversarial_attack module
      • AdversarialAttack
        • AdversarialAttack.attack()
  • advsecurenet.attacks.decision_based package
    • advsecurenet.attacks.decision_based.boundary module
      • DecisionBoundary
        • DecisionBoundary.attack()
  • advsecurenet.attacks.gradient_based package
    • advsecurenet.attacks.gradient_based.cw module
      • CWAttack
        • CWAttack.attack()
    • advsecurenet.attacks.gradient_based.deepfool module
      • DeepFool
        • DeepFool.attack()
    • advsecurenet.attacks.gradient_based.fgsm module
      • FGSM
        • FGSM.attack()
    • advsecurenet.attacks.gradient_based.lots module
      • LOTS
        • LOTS.attack()
    • advsecurenet.attacks.gradient_based.pgd module
      • PGD
        • PGD.attack()
• advsecurenet.dataloader package
  • advsecurenet.dataloader.data_loader_factory module
    • DataLoaderFactory
      • DataLoaderFactory.None
      • DataLoaderFactory.create_dataloader()
    • dataclass_to_dict()
  • advsecurenet.dataloader.distributed_eval_sampler module
    • DistributedEvalSampler
      • DistributedEvalSampler.set_epoch()
• advsecurenet.datasets package
  • advsecurenet.datasets.Cifar10 package
    • advsecurenet.datasets.Cifar10.cifar10_dataset module
      • CIFAR100Dataset
        • CIFAR100Dataset.mean
        • CIFAR100Dataset.std
        • CIFAR100Dataset.input_size
        • CIFAR100Dataset.name
        • CIFAR100Dataset.num_classes
        • CIFAR100Dataset.num_input_channels
        • CIFAR100Dataset.get_dataset_class()
      • CIFAR10Dataset
        • CIFAR10Dataset.mean
        • CIFAR10Dataset.std
        • CIFAR10Dataset.input_size
        • CIFAR10Dataset.name
        • CIFAR10Dataset.num_classes
        • CIFAR10Dataset.num_input_channels
        • CIFAR10Dataset.get_dataset_class()
  • advsecurenet.datasets.Custom package
    • advsecurenet.datasets.Custom.CustomDataset module
      • CustomDataset
  • advsecurenet.datasets.ImageNet package
    • advsecurenet.datasets.ImageNet.imagenet_dataset module
      • ImageNetDataset
        • ImageNetDataset.mean
        • ImageNetDataset.std
        • ImageNetDataset.input_size
        • ImageNetDataset.name
        • ImageNetDataset.num_classes
        • ImageNetDataset.num_input_channels
  • advsecurenet.datasets.MNIST package
    • advsecurenet.datasets.MNIST.mnist_dataset module
      • FashionMNISTDataset
        • FashionMNISTDataset.mean
        • FashionMNISTDataset.std
        • FashionMNISTDataset.input_size
        • FashionMNISTDataset.name
        • FashionMNISTDataset.num_classes
        • FashionMNISTDataset.get_dataset_class()
      • MNISTDataset
        • MNISTDataset.mean
        • MNISTDataset.std
        • MNISTDataset.input_size
        • MNISTDataset.name
        • MNISTDataset.num_classes
        • MNISTDataset.get_dataset_class()
  • advsecurenet.datasets.svhn package
    • advsecurenet.datasets.svhn.svhn_dataset module
      • SVHNDataset
        • SVHNDataset.mean
        • SVHNDataset.std
        • SVHNDataset.input_size
        • SVHNDataset.name
        • SVHNDataset.num_classes
        • SVHNDataset.get_dataset_class()
  • advsecurenet.datasets.base_dataset module
    • BaseDataset
      • BaseDataset._dataset
      • BaseDataset.mean
      • BaseDataset.std
      • BaseDataset.input_size
      • BaseDataset.name
      • BaseDataset.num_classes
      • BaseDataset.num_input_channels
      • BaseDataset.data_type
      • BaseDataset.get_dataset_class()
      • BaseDataset.get_transforms()
      • BaseDataset.load_dataset()
    • DatasetWrapper
    • ImageFolderBaseDataset
      • ImageFolderBaseDataset.get_dataset_class()
  • advsecurenet.datasets.dataset_factory module
    • DatasetFactory
      • DatasetFactory.available_datasets()
      • DatasetFactory.create_dataset()
  • advsecurenet.datasets.targeted_adv_dataset module
    • AdversarialDataset
      • AdversarialDataset.get_dataset_class()
• advsecurenet.defenses package
  • advsecurenet.defenses.adversarial_training module
    • AdversarialTraining
  • advsecurenet.defenses.ddp_adversarial_training module
    • DDPAdversarialTraining
• advsecurenet.distributed package
  • advsecurenet.distributed.ddp_base_task module
    • DDPBaseTask
  • advsecurenet.distributed.ddp_coordinator module
    • DDPCoordinator
      • DDPCoordinator.ddp_setup()
      • DDPCoordinator.run()
      • DDPCoordinator.run_process()
• advsecurenet.evaluation package
  • advsecurenet.evaluation.evaluators package
    • advsecurenet.evaluation.evaluators.attack_success_rate_evaluator module
      • AttackSuccessRateEvaluator
        • AttackSuccessRateEvaluator.get_results()
        • AttackSuccessRateEvaluator.reset()
        • AttackSuccessRateEvaluator.update()
    • advsecurenet.evaluation.evaluators.perturbation_distance_evaluator module
      • PerturbationDistanceEvaluator
        • PerturbationDistanceEvaluator.calculate_l0_distance()
        • PerturbationDistanceEvaluator.calculate_l2_distance()
        • PerturbationDistanceEvaluator.calculate_l_inf_distance()
        • PerturbationDistanceEvaluator.calculate_perturbation_distances()
        • PerturbationDistanceEvaluator.get_perturbation_distance()
        • PerturbationDistanceEvaluator.get_results()
        • PerturbationDistanceEvaluator.reset()
        • PerturbationDistanceEvaluator.update()
    • advsecurenet.evaluation.evaluators.perturbation_effectiveness_evaluator module
      • PerturbationEffectivenessEvaluator
        • PerturbationEffectivenessEvaluator.calculate_perturbation_effectiveness_score()
        • PerturbationEffectivenessEvaluator.get_results()
        • PerturbationEffectivenessEvaluator.reset()
        • PerturbationEffectivenessEvaluator.update()
    • advsecurenet.evaluation.evaluators.robustness_gap_evaluator module
      • RobustnessGapEvaluator
        • RobustnessGapEvaluator.get_results()
        • RobustnessGapEvaluator.reset()
        • RobustnessGapEvaluator.update()
    • advsecurenet.evaluation.evaluators.similarity_evaluator module
      • SimilarityEvaluator
        • SimilarityEvaluator.calculate_psnr()
        • SimilarityEvaluator.calculate_similarity_scores()
        • SimilarityEvaluator.calculate_ssim()
        • SimilarityEvaluator.get_psnr()
        • SimilarityEvaluator.get_results()
        • SimilarityEvaluator.get_ssim()
        • SimilarityEvaluator.reset()
        • SimilarityEvaluator.update()
        • SimilarityEvaluator.update_psnr()
        • SimilarityEvaluator.update_ssim()
    • advsecurenet.evaluation.evaluators.transferability_evaluator module
      • TransferabilityEvaluator
        • TransferabilityEvaluator.transferability_data
        • TransferabilityEvaluator.get_results()
        • TransferabilityEvaluator.reset()
        • TransferabilityEvaluator.update()
  • advsecurenet.evaluation.adversarial_evaluator module
    • AdversarialEvaluator
      • AdversarialEvaluator.get_results()
      • AdversarialEvaluator.reset()
      • AdversarialEvaluator.update()
  • advsecurenet.evaluation.base_evaluator module
    • BaseEvaluator
      • BaseEvaluator.get_results()
      • BaseEvaluator.reset()
      • BaseEvaluator.save_results_to_csv()
      • BaseEvaluator.update()
  • advsecurenet.evaluation.tester module
    • Tester
      • Tester.test()
• advsecurenet.models package
  • advsecurenet.models.CustomModels package
    • advsecurenet.models.CustomModels.CustomCifar10Model module
      • CustomCifar10Model
        • CustomCifar10Model.forward()
    • advsecurenet.models.CustomModels.CustomMnistModel module
      • CustomMnistModel
        • CustomMnistModel.forward()
  • advsecurenet.models.base_model module
    • BaseModel
      • BaseModel.num_classes
      • BaseModel.pretrained
      • BaseModel.target_layer
      • BaseModel.add_layer()
      • BaseModel.forward()
      • BaseModel.get_layer()
      • BaseModel.get_layer_names()
      • BaseModel.load_model()
      • BaseModel.models()
      • BaseModel.predict()
      • BaseModel.save_model()
      • BaseModel.set_layer()
    • check_model_loaded()
  • advsecurenet.models.custom_model module
    • CustomModel
      • CustomModel.available_weights()
      • CustomModel.load_model()
      • CustomModel.models()
      • CustomModel.modify_model()
  • advsecurenet.models.external_model module
    • ExternalModel
      • ExternalModel.load_model()
      • ExternalModel.models()
  • advsecurenet.models.model_factory module
    • ModelFactory
      • ModelFactory.add_layer()
      • ModelFactory.available_custom_models()
      • ModelFactory.available_models()
      • ModelFactory.available_standard_models()
      • ModelFactory.available_weights()
      • ModelFactory.create_model()
      • ModelFactory.infer_model_type()
  • advsecurenet.models.standard_model module
    • StandardModel
      • StandardModel.available_weights()
      • StandardModel.load_model()
      • StandardModel.models()
      • StandardModel.modify_model()
• advsecurenet.shared package
  • advsecurenet.shared.types package
    • advsecurenet.shared.types.configs package
      • advsecurenet.shared.types.configs.attack_configs package
        • advsecurenet.shared.types.configs.attack_configs.attack_config module
          • AttackConfig
        • advsecurenet.shared.types.configs.attack_configs.attacker_config module
          • AttackerConfig
        • advsecurenet.shared.types.configs.attack_configs.cw_attack_config module
          • CWAttackConfig
        • advsecurenet.shared.types.configs.attack_configs.decision_boundary_attack_config module
          • DecisionBoundaryAttackConfig
        • advsecurenet.shared.types.configs.attack_configs.deepfool_attack_config module
          • DeepFoolAttackConfig
        • advsecurenet.shared.types.configs.attack_configs.fgsm_attack_config module
          • FgsmAttackConfig
        • advsecurenet.shared.types.configs.attack_configs.lots_attack_config module
          • LotsAttackConfig
          • LotsAttackMode
        • advsecurenet.shared.types.configs.attack_configs.pgd_attack_config module
          • PgdAttackConfig
      • advsecurenet.shared.types.configs.defense_configs package
        • advsecurenet.shared.types.configs.defense_configs.adversarial_training_config module
          • AdversarialTrainingConfig
      • advsecurenet.shared.types.configs.configs module
        • ConfigType
          • ConfigType.ADVERSARIAL_EVALUATION
          • ConfigType.ADVERSARIAL_TRAINING
          • ConfigType.ATTACK
          • ConfigType.DATASET
          • ConfigType.DEFENSE
          • ConfigType.EVALUATION
          • ConfigType.MODEL
          • ConfigType.TEST
          • ConfigType.TRAIN
      • advsecurenet.shared.types.configs.dataloader_config module
        • DataLoaderConfig
          • DataLoaderConfig.batch_size
          • DataLoaderConfig.dataset
          • DataLoaderConfig.drop_last
          • DataLoaderConfig.num_workers
          • DataLoaderConfig.pin_memory
          • DataLoaderConfig.sampler
          • DataLoaderConfig.shuffle
      • advsecurenet.shared.types.configs.device_config module
        • DeviceConfig
          • DeviceConfig.gpu_ids
          • DeviceConfig.processor
          • DeviceConfig.use_ddp
      • advsecurenet.shared.types.configs.model_config module
        • BaseModelConfig
          • BaseModelConfig.model_name
          • BaseModelConfig.num_classes
          • BaseModelConfig.num_input_channels
          • BaseModelConfig.pretrained
        • CreateModelConfig
          • CreateModelConfig.is_external
          • CreateModelConfig.random_seed
        • CustomModelConfig
          • CustomModelConfig.custom_models_path
        • ExternalModelConfig
          • ExternalModelConfig.model_arch_path
          • ExternalModelConfig.model_weights_path
        • StandardModelConfig
          • StandardModelConfig.weights
      • advsecurenet.shared.types.configs.preprocess_config module
        • PreprocessConfig
          • PreprocessConfig.steps
        • PreprocessStep
          • PreprocessStep.name
          • PreprocessStep.params
      • advsecurenet.shared.types.configs.test_config module
        • TestConfig
          • TestConfig.criterion
          • TestConfig.model
          • TestConfig.processor
          • TestConfig.test_loader
          • TestConfig.topk
      • advsecurenet.shared.types.configs.train_config module
        • CheckpointConfig
          • CheckpointConfig.checkpoint_interval
          • CheckpointConfig.load_checkpoint
          • CheckpointConfig.load_checkpoint_path
          • CheckpointConfig.save_checkpoint
          • CheckpointConfig.save_checkpoint_name
          • CheckpointConfig.save_checkpoint_path
        • FinalModelConfig
          • FinalModelConfig.save_final_model
          • FinalModelConfig.save_model_name
          • FinalModelConfig.save_model_path
        • ModelConfig
          • ModelConfig.model
        • OptimizationConfig
          • OptimizationConfig.optimizer
          • OptimizationConfig.optimizer_kwargs
          • OptimizationConfig.scheduler
          • OptimizationConfig.scheduler_kwargs
        • TrainConfig
        • TrainingProcessConfig
          • TrainingProcessConfig.criterion
          • TrainingProcessConfig.epochs
          • TrainingProcessConfig.learning_rate
          • TrainingProcessConfig.train_loader
          • TrainingProcessConfig.verbose
    • advsecurenet.shared.types.attacks module
      • AttackType
        • AttackType.CW
        • AttackType.DECISION_BOUNDARY
        • AttackType.DEEPFOOL
        • AttackType.FGSM
        • AttackType.LOTS
        • AttackType.PGD
    • advsecurenet.shared.types.dataset module
      • DataType
        • DataType.TEST
        • DataType.TRAIN
      • DatasetType
        • DatasetType.CIFAR10
        • DatasetType.CIFAR100
        • DatasetType.CUSTOM
        • DatasetType.FASHION_MNIST
        • DatasetType.IMAGENET
        • DatasetType.MNIST
        • DatasetType.SVHN
    • advsecurenet.shared.types.model module
      • ModelType
        • ModelType.CUSTOM
        • ModelType.EXTERNAL
        • ModelType.STANDARD
  • advsecurenet.shared.adversarial_evaluators module
  • advsecurenet.shared.colors module
  • advsecurenet.shared.loss module
    • Loss
      • Loss.BCE_LOSS
      • Loss.BCE_WITH_LOGITS_LOSS
      • Loss.COSINE_EMBEDDING_LOSS
      • Loss.CROSS_ENTROPY
      • Loss.HINGE_EMBEDDING_LOSS
      • Loss.KLDIV_LOSS
      • Loss.L1_LOSS
      • Loss.MARGIN_RANKING_LOSS
      • Loss.MSELoss
      • Loss.MULTI_LABEL_MARGIN_LOSS
      • Loss.MULTI_MARGIN_LOSS
      • Loss.NLL_LOSS
      • Loss.NLL_LOSS2D
      • Loss.POISSON_NLL_LOSS
      • Loss.SMOOTH_L1_LOSS
      • Loss.SOFT_MARGIN_LOSS
      • Loss.TRIPLET_MARGIN_LOSS
  • advsecurenet.shared.normalization_params module
    • NormalizationParameters
      • NormalizationParameters.DATASETS
      • NormalizationParameters.get_params()
      • NormalizationParameters.list_datasets()
  • advsecurenet.shared.optimizer module
    • Optimizer
      • Optimizer.ADAGRAD
      • Optimizer.ADAM
      • Optimizer.ADAMAX
      • Optimizer.ADAMW
      • Optimizer.ASGD
      • Optimizer.LBFGS
      • Optimizer.RMS_PROP
      • Optimizer.R_PROP
      • Optimizer.SGD
  • advsecurenet.shared.scheduler module
    • Scheduler
      • Scheduler.COSINE_ANNEALING_LR
      • Scheduler.COSINE_ANNEALING_WARM_RESTARTS
      • Scheduler.CYCLIC_LR
      • Scheduler.EXPONENTIAL_LR
      • Scheduler.LAMBDA_LR
      • Scheduler.LINEAR_LR
      • Scheduler.MULTI_STEP_LR
      • Scheduler.ONE_CYCLE_LR
      • Scheduler.POLY_LR
      • Scheduler.REDUCE_LR_ON_PLATEAU
      • Scheduler.STEP_LR
• advsecurenet.trainer package
  • advsecurenet.trainer.ddp_trainer module
    • DDPTrainer
  • advsecurenet.trainer.trainer module
    • Trainer
      • Trainer.train()
• advsecurenet.utils package
  • advsecurenet.utils.adversarial_target_generator module
    • AdversarialTargetGenerator
      • AdversarialTargetGenerator.generate_target_images_and_labels()
      • AdversarialTargetGenerator.generate_target_labels()
  • advsecurenet.utils.data module
    • get_subset_data()
    • split_data()
    • unnormalize_data()
  • advsecurenet.utils.dataclass module
    • filter_for_dataclass()
    • flatten_dataclass()
    • is_list_of_dataclass()
    • is_optional_type()
    • merge_dataclasses()
    • process_field()
    • process_generic_type()
    • process_optional_field()
    • recursive_dataclass_instantiation()
  • advsecurenet.utils.ddp module
    • set_visible_gpus()
  • advsecurenet.utils.device_manager module
    • DeviceManager
      • DeviceManager.get_current_device()
      • DeviceManager.to_device()
  • advsecurenet.utils.dot_dict module
    • DotDict
  • advsecurenet.utils.logging module
    • LoggingConfig
      • LoggingConfig.log_dir
      • LoggingConfig.log_file
      • LoggingConfig.level
      • LoggingConfig.disable_existing_loggers
      • LoggingConfig.formatters
      • LoggingConfig.version
      • LoggingConfig.disable_existing_loggers
      • LoggingConfig.formatters
      • LoggingConfig.level
      • LoggingConfig.log_dir
      • LoggingConfig.log_file
      • LoggingConfig.version
    • setup_logging()
  • advsecurenet.utils.loss module
    • get_loss_function()
  • advsecurenet.utils.model_utils module
    • download_weights()
    • load_model()
    • save_model()
  • advsecurenet.utils.network module
    • find_free_port()
  • advsecurenet.utils.normalization_layer module
    • NormalizationLayer
      • NormalizationLayer.forward()
  • advsecurenet.utils.reproducibility_utils module
    • numpy_random_seed()
    • numpy_unseed()
    • python_random_seed()
    • python_unseed()
    • set_deterministic()
    • set_nondeterministic()
    • set_seed()
    • torch_random_seed()
    • torch_unseed()
    • unique_seed()
    • unseed()

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