Selective Forgetting in Machine Learning and Beyond: A Survey

This is a survey article that reviews research on selective forgetting in machine learning, which is the ability to remove or reduce specific information from a trained AI model without completely retraining it from scratch. The article covers methods and applications of this technique across various AI systems and domains. The survey appears to be an academic overview of current knowledge in this area rather than describing a specific problem or vulnerability.