LMEraser: A Novel Machine Unlearning Method for Large Models Ensuring Privacy and Efficiency

Large models like BERT, GPT-3, and T5 boast billions of parameters and extensive training data, enabling them to discern intricate patterns and yield high accuracy. However, their widespread use raises privacy concerns regarding the unauthorized exposure of sensitive user information. Machine unlearning emerges as a solution, allowing for removing specific data from trained models without […]

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