95e0418c52263c41c4a7f88a1dd2c8464be14710,art/attacks/extraction/functionally_equivalent_extraction.py,,,#,327

Before Change

    y_test_predicted_extracted = fee.predict(x_test)

    print("Target model - Test accuracy:", score_target[1])
    print("Extracted model - Test accuracy:", score_target[1])

After Change

    fee.extract(x_test[0:100])

    y_test_predicted_extracted = fee.predict(x_test)
    y_test_predicted_target = classifier.predict(x_test)

    print("Target model - Test accuracy:", score_target[1])
    print("Extracted model - Test accuracy:",
          np.sum(np.argmax(y_test_predicted_extracted, axis=1) == np.argmax(y_test, axis=1)) / y_test.shape[0])
    print("Extracted model - Test Fidelity:",
          np.sum(np.argmax(y_test_predicted_extracted, axis=1) == np.argmax(y_test_predicted_target, axis=1)) /
          y_test_predicted_target.shape[0])

Instances