advsecurenet.shared.types package

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• 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

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advsecurenet.shared.types.attacks module

class advsecurenet.shared.types.attacks.AttackType(value)

Bases: Enum

This Enum class is used to store the types of attacks.

CW = <class 'advsecurenet.attacks.gradient_based.cw.CWAttack'>

DECISION_BOUNDARY = <class 'advsecurenet.attacks.decision_based.boundary.DecisionBoundary'>

DEEPFOOL = <class 'advsecurenet.attacks.gradient_based.deepfool.DeepFool'>

FGSM = <class 'advsecurenet.attacks.gradient_based.fgsm.FGSM'>

LOTS = <class 'advsecurenet.attacks.gradient_based.lots.LOTS'>

PGD = <class 'advsecurenet.attacks.gradient_based.pgd.PGD'>

advsecurenet.shared.types.dataset module

class advsecurenet.shared.types.dataset.DataType(value)

Bases: Enum

An enum class for the data types.

TEST = 'test'

TRAIN = 'train'

class advsecurenet.shared.types.dataset.DatasetType(value)

Bases: Enum

An enum class for the dataset types supported by the library. It is possible to use a custom dataset as well.

CIFAR10 = 'CIFAR10'

CIFAR100 = 'CIFAR100'

CUSTOM = 'CUSTOM'

FASHION_MNIST = 'FASHION_MNIST'

IMAGENET = 'IMAGENET'

MNIST = 'MNIST'

SVHN = 'SVHN'

advsecurenet.shared.types.model module

class advsecurenet.shared.types.model.ModelType(value)

Bases: Enum

Specifies the type of the model. Supported types are: - STANDARD: The model is a standard model from torchvision.models. - CUSTOM: The model is a custom model provided by the package that is not present in torchvision.models. These models can be used for research purposes. - EXTERNAL: The model is an external model that is not provided by the package. These models are loaded from external Python files.

CUSTOM = 'custom'

EXTERNAL = 'external'

STANDARD = 'standard'

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