Existing machine unlearning methods fail to remove the effects of data poisoning attacks.A study showed that various unlearning methods were ineffective against different types of poisoning attacks on different models.New evaluation metrics for unlearning were introduced to precisely measure its efficacy in combating data poisoning.The study suggests that unlearning methods for deep learning need further improvement and wider evaluation.