def Plotting():
    """
    Function:
        Plot all adv samples.
    """
    # reset graph
    tf.keras.backend.clear_session()
    epsilon = 1.0  # max value of the images is 1.0
    alpha = 0.5
    noise_type = 'gaussian'

    batch_size = 1
    img_num = 50
    folder_name = 'plots_double/'
    env = Environment(batch_size)

    _, _, x_test, y_test = env.MnistDataset()
    x_select, y_select = ShuffleAndSelect(x_test, y_test, img_num)

    img_index = SecondAgentPlots(x_select, folder_name)
    x_select_new = x_select[img_index]
    y_select_new = y_select[img_index]

    OriginalPlot(x_select_new, folder_name)
    FirstAgentPlots(epsilon, alpha, env, x_select_new, y_select_new,
                    noise_type, folder_name)
Пример #2
0
def Plotting(epsilons, alphas, noise_type):
    """
    Function:
        Plot all adv samples.
    """
    # reset graph
    tf.keras.backend.clear_session()

    batch_size = 1
    img_num = 10
    folder_name = 'plots_' + noise_type + '/'
    env = Environment(batch_size)

    _, _, x_test, y_test = env.MnistDataset()
    x_select, y_select = ShuffleAndSelect(x_test, y_test, img_num)

    OriginalPlot(x_select, folder_name)

    for ind in tqdm(range(len(epsilons))):
        epsilon = epsilons[ind]
        for alpha in alphas:
            ResultsOnCurrentPara(epsilon, alpha, env, x_select, y_select,
                                 noise_type, folder_name)