in privacy_lint/attack_results.py [0:0]
def __init__(self, scores_train: torch.Tensor, scores_test: torch.Tensor):
"""
Given an attack that outputs scores for train and test samples, computes
attack results.
Notes:
- Score should be high for a train sample and low for an test sample:
typically, -loss is a good score.
"""
assert scores_train.ndim == scores_test.ndim == 1
self.scores_train, self.scores_test = scores_train, scores_test