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dbb958f791
Add AI privacy Dataset assessment module with two attack implementations. Signed-off-by: Maya Anderson <mayaa@il.ibm.com>
12 lines
725 B
Python
12 lines
725 B
Python
"""
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Module providing privacy risk assessment for synthetic data.
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The main interface, ``DatasetAttack``, with the ``assess_privacy()`` main method assumes the availability of the
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training data, holdout data and synthetic data at the time of the privacy evaluation.
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It is to be implemented by concrete assessment methods, which can run the assessment on a per-record level,
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or on the whole dataset.
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The abstract class ``DatasetAttackMembership`` implements the ``DatasetAttack`` interface, but adds the result
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of the membership inference attack, so that the final score contains both the membership inference attack result
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for further analysis and the calculated score.
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"""
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from apt.risk.data_assessment import dataset_attack
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