FEAT: Leakage Scenario - New

[varunj-msft]

FEAT: Add LeakageScenario for data leakage vulnerability testing

Description

Adds LeakageScenario for testing models against data leakage vulnerabilities including PII extraction, credential exposure, copyrighted content reproduction, and system prompt leakage.

Key changes:

New LeakageScenario class with 5 attack strategies (ALL, FIRST_LETTER, CRESCENDO, IMAGE, ROLE_PLAY)
New leakage.yaml scorer covering all leakage objectives (replaces generic privacy.yaml)
Exports via pyrit.scenario for clean imports

Files:
leakage_scenario.py - Main implementation
leakage.yaml - Custom scorer
leakage.prompt - Attack prompts
init.py, init.py, init.py - Exports
test_leakage_scenario.py - Tests

Tests and Documentation

34 unit tests in test_leakage_scenario.py
Tests cover: initialization, all 5 strategies, scorer validation, image creation, converter usage
JupyText: no notebook changes in this PR

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[hannahwestra25]

could also do this image one with multi turn

[hannahwestra25]

similar to crescendo but one of the methods we used was just asking the model for x more words so like here's the beginning of the quote give me the next 5 words and continue until you have violated copyright. Can you add a strategy specific to that method

[bashirpartovi]

This function is getting a bit long with the if/elif chain, and it will only grow as more strategies are added.
I think a dictionary dispatch with factory methods might be cleaner here:

async def _get_atomic_attack_from_strategy_async(self, strategy: str) -> AtomicAttack:
    assert self._objective_target is not None
    
    strategy_factories = {
        "first_letter": self._create_first_letter_attack,
        "crescendo": self._create_crescendo_attack,
        "image": self._create_image_attack,
        "role_play": self._create_role_play_attack,
    }
    
    factory = strategy_factories.get(strategy)
    if not factory:
        raise ValueError(f"Unknown LeakageStrategy: {strategy}")
    
    attack_strategy = await factory()
    
    return AtomicAttack(
        atomic_attack_name=f"leakage_{strategy}",
        attack=attack_strategy,
        objectives=self._objectives,
        memory_labels=self._memory_labels,
    )

Obviously, you have to create _create_first_letter_attack here (and the others) to be used at the top level, e.g.:

async def _create_first_letter_attack(self) -> PromptSendingAttack:
    converters = [FirstLetterConverter()]
    converter_config = AttackConverterConfig(
        request_converters=PromptConverterConfiguration.from_converters(converters=converters)
    )
    return PromptSendingAttack(
        objective_target=self._objective_target,
        attack_scoring_config=self._scorer_config,
        attack_converter_config=converter_config,
   ) 

[hannahwestra25]

nit: i think we generally don't have newlines in our .prompt files so I'd remove these for consistency