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Fix sample weight generation in membership_inference_attack_test. #649

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copybara-service merged 1 commit into from
Aug 26, 2026
Merged

Fix sample weight generation in membership_inference_attack_test. #649

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10 changes: 6 additions & 4 deletions ...acy/privacy/privacy_tests/membership_inference_attack/membership_inference_attack_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -83,8 +83,9 @@ def get_multilabel_test_input_with_sample_weights(n_train, n_test):
logits_test=rng.randn(n_test, num_classes) + 0.2,
labels_train=get_multihot_labels_for_test(n_train, num_classes),
labels_test=get_multihot_labels_for_test(n_test, num_classes),
sample_weight_train=rng.randn(n_train, 1),
sample_weight_test=rng.randn(n_test, 1))
sample_weight_train=rng.rand(n_train, 1),
sample_weight_test=rng.rand(n_test, 1),
)


def get_test_input_logits_only(n_train, n_test):
Expand All @@ -101,8 +102,9 @@ def get_test_input_logits_only_with_sample_weights(n_train, n_test):
return AttackInputData(
logits_train=rng.randn(n_train, 5) + 0.2,
logits_test=rng.randn(n_test, 5) + 0.2,
sample_weight_train=rng.randn(n_train, 1),
sample_weight_test=rng.randn(n_test, 1))
sample_weight_train=rng.rand(n_train, 1),
sample_weight_test=rng.rand(n_test, 1),
)


class MockTrainedAttacker(object):
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