tapas.threat_models.attacker_knowledge.BlackBoxKnowledge

class tapas.threat_models.attacker_knowledge.BlackBoxKnowledge(generator: Generator, num_synthetic_records: int)

Bases: tapas.threat_models.attacker_knowledge.AttackerKnowledgeOnGenerator

The attacker has access to the generator method with access to the generator has an exact black-box. The attacker can call the generator with the same parameters as were used to produce the real dataset.

This is the recommended assumption on attacker knowledge.

__init__(generator: Generator, num_synthetic_records: int)

Methods

__init__(generator, num_synthetic_records)
generate(training_dataset[, training_mode])	Generate a synthetic dataset from a given training dataset.

Attributes

label

A string to represent this knowledge.

generate(training_dataset: Dataset, training_mode: bool = True)

Generate a synthetic dataset from a given training dataset.

property label

A string to represent this knowledge.