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  1. Approximate Machine Unlearning through Manifold Representation Forgetting Guided by Self Mode Connectivity
  2. TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning
  3. Generative Adversarial Networks: A Survey on Attack and Defense Perspective
  4. BFU: Bayesian Federated Unlearning with Parameter Self-Sharing
  5. A Comprehensive Survey on Poisoning Attacks and Countermeasures in Machine Learning