47 lines
1.7 KiB
Python
47 lines
1.7 KiB
Python
"""
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Metrics on AttackSuccessRate
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================================
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This module contains the implementation of the AttackSuccessRate metric,
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which is designed to evaluate the effectiveness of jailbreak attacks in a dataset.
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It calculates the number of successful and failed attacks, and computes the overall
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attack success rate.
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"""
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from easyjailbreak.metrics.Metric.metric import Metric
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from easyjailbreak.datasets import JailbreakDataset
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__all__ = ['AttackSuccessRate']
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class AttackSuccessRate(Metric):
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"""
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A metric to evaluate the success rate of jailbreak attacks.
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It calculates the number of successful and failed attacks within a dataset,
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and determines the overall attack success rate.
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"""
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def __init__(self):
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self.failed_attacks = 0
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self.successful_attacks = 0
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self.all_metrics = {}
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def calculate(self, dataset: JailbreakDataset):
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"""
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Calculate the attack success rate from the given dataset.
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:param ~JailbreakDataset dataset: The dataset containing jailbreak attack results.
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:return dict: A dictionary containing the number of successful attacks, failed attacks,
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and the attack success rate.
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"""
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if len(dataset) == 0:
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raise ValueError("The dataset is empty.")
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for Instance in dataset:
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if Instance.eval_results[-1] == 1:
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self.successful_attacks += 1
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else:
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self.failed_attacks += 1
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self.all_metrics["successful_attacks"] = self.successful_attacks
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self.all_metrics["failed_attacks"] = self.failed_attacks
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self.all_metrics["attack_success_rate"] = round(self.successful_attacks * 100.0 / len(dataset), 2)
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return self.all_metrics
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