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Image Credit: Arxiv

Machine Unlearning Fails to Remove Data Poisoning Attacks

  • 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.

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