def k_anonymize(dataset, k=5):
    """
    Applies k-anonymity to the dataset.
    """
    # Group data into clusters of at least k records
    # Suppress or generalize identifiers
    # ...
    return anonymized_dataset

def apply_differential_privacy(dataset, epsilon=0.1):
    """
    Adds Laplace noise to ensure differential privacy.
    """
    noisy_dataset = dataset + np.random.laplace(0, 1/epsilon, dataset.shape)
    return noisy_dataset